• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Multimedia Tools and Applications >Heart rate monitoring, activity recognition, and recommendation for e-coaching
【24h】

Heart rate monitoring, activity recognition, and recommendation for e-coaching

机译：心率监测，活动识别和电子辅导建议

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Equipped with hardware, such as accelerometer and heart rate sensor, wearables enable measuring physical activities and heart rate. However, the accuracy of these heart rate measurements is still unclear and the coupling with activity recognition is often missing in health apps. This study evaluates heart rate monitoring with four different device types: a specialized sports device with chest strap, a fitness tracker, a smart watch, and a smartphone using photoplethysmography. In a state of rest, similar measurement results are obtained with the four devices. During physical activities, the fitness tracker, smart watch, and smartphone measure sudden variations in heart rate with a delay, due to movements of the wrist. Moreover, this study showed that physical activities, such as squats and dumbbell curl, can be recognized with fitness trackers. By combining heart rate monitoring and activity recognition, personal suggestions for physical activities are generated using a tag-based recommender and rule-based filter.
机译：可穿戴设备配备了加速度计和心率传感器等硬件，可以测量身体活动和心率。但是，这些心率测量的准确性仍不清楚，健康应用程序中经常缺少与活动识别的结合。这项研究评估了四种不同设备类型的心率监测：带胸带的专用运动设备，健身追踪器，智能手表和使用光电容积描记法的智能手机。在静止状态下，使用这四个设备可获得相似的测量结果。在进行体育锻炼时，健身追踪器，智能手表和智能手机会由于手腕的运动而延迟测量心率的突然变化。此外，这项研究表明，健身追踪器可以识别出诸如蹲下和哑铃弯曲等身体活动。通过将心率监测和活动识别相结合，可以使用基于标签的推荐器和基于规则的过滤器来生成有关身体活动的个人建议。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号