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    首页 产品目录 轮胎 Compasal Citiwalker

    Compasal Citiwalker

    Compasal
    • 出处: Китай
    • 轿车轮胎 Compasal
    28 条评论
    • Compasal Citiwalker 放大
      Compasal Citiwalker
    • Compasal Citiwalker 放大
      Compasal Citiwalker
    • Compasal Citiwalker 放大
      Compasal Citiwalker
    • Compasal Citiwalker
    • Compasal Citiwalker
    • Compasal Citiwalker
    от 5 650 ₽
    制造商
    Compasal (Китай)
    车辆类型
    越野车和SUV
    轮胎使用季节
    夏季
    销售开始于
    2019
    轮胎类别
    E
    油耗
    D...D
    操控性
    C...C
    轮胎噪音水平
    71...75

    描述 Compasal Citiwalker

    夏季轮胎Compasal Citiwalker专为跨界车和越野车设计。在沥青道路上表现出最佳效果,代表着高地形类别的轮胎模式。

    胎面采用定向设计,具有非对称的元素排列。其关键特点是分为几个功能区。宽大的肩部区域具有横向展开的块状结构,在转弯和减速时提供稳定性。与其相邻的两条凸缘提高了行驶稳定性,并促进了侧向加速度力在方向盘上的快速和准确传递,使驾驶更容易。中央部分的块状结构提供了高水平的牵引力。

    Compasal Citiwalker的主要特点

    - 非对称的胎面图案提供了平衡性和在最复杂的道路条件下的自信性;
    - 增大的排水槽尺寸和数量降低了水漂的风险;
    - 由于大量的横向抓地边缘,在湿润的路面上具有优秀的牵引力和制动效率。

    显示全部描述
    • 现有尺寸 11
    • 无货 29
    • 评论 9

    有货和预订 11

    直径车型尺寸轮胎使用季节库存价格
    R16Compasal Citiwalker 225/70 R16 103H225/70 R16 103H 7 480 ₽
    Compasal Citiwalker 235/70 R16 106H235/70 R16 106H 6 490 ₽
    Compasal Citiwalker 275/70 R16 114H275/70 R16 114H 6 870 ₽
    R17Compasal Citiwalker 225/60 R17 99H225/60 R17 99H 5 730 ₽
    Compasal Citiwalker 225/65 R17 102H225/65 R17 102H 7 260 ₽
    Compasal Citiwalker 235/65 R17 104H235/65 R17 104H 6 350 ₽
    Compasal Citiwalker 265/65 R17 112H265/65 R17 112H 9 440 ₽
    R18Compasal Citiwalker 255/60 R18 112H XL255/60 R18 112H XL9 670 ₽
    Compasal Citiwalker 265/60 R18 114H XL265/60 R18 114H XL9 120 ₽
    R20Compasal Citiwalker 255/50 R20 109V XL255/50 R20 109V XL9 120 ₽
    Compasal Citiwalker 275/55 R20 117V XL275/55 R20 117V XL5 850 ₽

    无货 29

    直径车型尺寸轮胎使用季节
    R16Compasal Citiwalker 215/70 R16 100H215/70 R16 100H
    缺货
    Compasal Citiwalker 245/70 R16 111H XL245/70 R16 111H XL
    缺货
    Compasal Citiwalker 245/70 R16 107H245/70 R16 107H
    缺货
    Compasal Citiwalker 255/65 R16 109H255/65 R16 109H
    缺货
    Compasal Citiwalker 255/70 R16 111H255/70 R16 111H
    缺货
    Compasal Citiwalker 265/70 R16 112H265/70 R16 112H
    缺货
    R17Compasal Citiwalker 215/60 R17 96H215/60 R17 96H
    缺货
    Compasal Citiwalker 215/65 R17 99H215/65 R17 99H
    缺货
    Compasal Citiwalker 225/70 R17 107H225/70 R17 107H
    缺货
    Compasal Citiwalker 235/60 R17 106H XL235/60 R17 106H XL
    缺货
    Compasal Citiwalker 235/60 R17 102H235/60 R17 102H
    缺货
    Compasal Citiwalker 245/65 R17 107H245/65 R17 107H
    缺货
    Compasal Citiwalker 245/65 R17 111H XL245/65 R17 111H XL
    缺货
    Compasal Citiwalker 255/65 R17 110H255/65 R17 110H
    缺货
    Compasal Citiwalker 265/70 R17 115H265/70 R17 115H
    缺货
    Compasal Citiwalker 275/65 R17 115H275/65 R17 115H
    缺货
    Compasal Citiwalker 285/65 R17 116H285/65 R17 116H
    缺货
    R18Compasal Citiwalker 225/55 R18 98H225/55 R18 98H
    缺货
    Compasal Citiwalker 225/60 R18 104H XL225/60 R18 104H XL
    缺货
    Compasal Citiwalker 225/60 R18 100H225/60 R18 100H
    缺货
    Compasal Citiwalker 235/55 R18 104H XL235/55 R18 104H XL
    缺货
    Compasal Citiwalker 235/65 R18 110H XL235/65 R18 110H XL
    缺货
    Compasal Citiwalker 245/60 R18 105H245/60 R18 105H
    缺货
    Compasal Citiwalker 255/70 R18 113H255/70 R18 113H
    缺货
    Compasal Citiwalker 265/70 R18 116H265/70 R18 116H
    缺货
    Compasal Citiwalker 275/65 R18 116H275/65 R18 116H
    缺货
    Compasal Citiwalker 285/60 R18 120H XL285/60 R18 120H XL
    缺货
    R20Compasal Citiwalker 265/50 R20 111V XL265/50 R20 111V XL
    缺货
    Compasal Citiwalker 285/50 R20 116V XL285/50 R20 116V XL
    缺货

    评论 28

    写评论
    推荐 100%
    Оценка: 4.71 из 5
    25 条评论
    1
    0%
    2
    0%
    3
    0%
    4
    24%
    5
    76%
    • Вадим 关于轮胎 Compasal Citiwalker

      评分
      5

      為了公路行駛的輪胎非常好,噪音也很小,平衡性也很好。完全符合我的需求,没有發現任何不滿的地方。推薦購買。

      车辆:
      Toyota Land Cruiser 100 GX
      是否会再次购买?:
      很可能
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      22 四月 2023
    • Владимир 关于轮胎 Compasal Citiwalker

      商品在莫萨夫托什娜购买
      评分
      5

      一切都很棒...

      尺寸:
      235/70 R16 106H
      评分
      18 七月 2024
    • Денис 关于轮胎 Compasal Citiwalker

      商品在莫萨夫托什娜购买
      评分
      4.9

      **Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; and an activity detection module to detect starting conditions for data extraction.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction; process audio data using speech recognition and pattern detection modules; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      **Claims**:
      1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      2. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection.

      3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      4. The system of claim 3, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      5. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      6. The method of claim 1, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns.

      7. A computer-implemented system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns.

      8. The system of claim 7, wherein the speech recognition module processes the audio data using speech recognition and pattern detection modules to identify salient patterns.

      9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      10. The method of claim 9, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      11. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory; an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data; and a pattern detection module to identify salient patterns, and provide the extracted text and salient patterns to a note-taking application.

      12. The system of claim 11, wherein the processor processes the audio data using speech recognition and pattern detection modules to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      13. A non-transitory computer-readable medium having instructions that, when executed by a computer, cause the computer to: detect starting conditions for data extraction using an activity detection module; process audio data using speech recognition and pattern detection modules to identify salient patterns; and provide the extracted text and salient patterns to a note-taking application.

      14. The method of claim 13, wherein the activity detection module detects starting conditions based on audio data and computer operating context, including speech recognition and pattern detection, to identify salient patterns, and provides the extracted text and salient patterns to a note-taking application, allowing users to interactively edit an electronic document incorporating the extracted information.

      15. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a note-taking application.

      车辆:
      Hyundai ix35
      尺寸:
      225/60 R17 99H
      是否会再次购买?:
      很可能
      城市:
      莫斯科
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      26 七月 2024
    • Мария 关于轮胎 Compasal Citiwalker

      商品在莫萨夫托什娜购买
      评分
      5

      非常好的轮胎,及时到货。

      尺寸:
      225/65 R17 102H
      评分
      13 八月 2024
    • Николай 关于轮胎 Compasal Citiwalker

      商品在莫萨夫托什娜购买
      评分
      5

      好 nghiệp

      尺寸:
      235/70 R16 106H
      评分
      19 八月 2024
    • Илья 关于轮胎 Compasal Citiwalker

      评分
      2.7

      一个月前购买。R18。
      平衡正常。
      噪音大。2周后开始振动,检查了平衡,正常。
      抓地力不佳。
      中国制造的垃圾,可能小尺寸的还可以。
      准备出售。

      车辆:
      Mercedes G-Class (W463)
      是否会再次购买?:
      绝对不会
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      30 五月 2025
    • Алексей 关于轮胎 Compasal Citiwalker

      商品在莫萨夫托什娜购买
      评分
      5

      提前於預定時間到貨,還沒裝上。

      尺寸:
      225/60 R17 99H
      评分
      06 五月 2024
    • 评论 关于轮胎 Compasal Citiwalker

      评分
      5

      輪胎抓地力不錯,只是有一點噪音(,其他方面都還可以

      尺寸:
      225/60 R17 99H
      评分
      10 九月 2024
    • Алексей 关于轮胎 Compasal Citiwalker

      商品在莫萨夫托什娜购买
      评分
      4.6

      超出想象的价值!

      车辆:
      Nissan X-Trail
      尺寸:
      225/60 R18 104H XL
      是否会再次购买?:
      很可能
      城市:
      莫斯科
      干燥道路操控
      湿润道路操控
      直线行驶稳定性
      行驶舒适度
      行驶中的低噪音水平
      制动效能
      抗水漂能力
      速度特性
      耐磨性
      制造质量
      性价比
      16 八月 2025
    查看所有 28 条评论 关于 Compasal Citiwalker
    轮胎特性
    干路
    湿路
    稳定性
    舒适度
    低噪音
    制动
    评分
    水漂
    速度
    耐磨性
    质量
    性价比
    4.71 / 5
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