使用语音识别应用程序进行体力活动评估:开发和验证研究
1Physical Education Lab., College of Science and Technology, Nihon University, Chiba, Japan.
JMIR biomedical engineering
|June 22, 2024
概括
一个新的语音识别应用程序准确地测量身体活动,与加速度计数据高度相关. 这项创新技术提供了一种低负担的方法,用于在大量人群中评估体育活动.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
- 可穿戴技术可穿戴技术
背景情况:
- 传统的身体活动评估方法 (问卷,加速度计) 有局限性.
- 基于Web的系统提供了更容易的数据收集.
- 语音识别技术可以简化身体活动监控,而无需设备交互.
研究的目的:
- 开发一个智能手机应用程序,利用语音识别来记录行为和身体活动.
- 通过将其数据与加速度计测量结果进行比较来验证应用程序的准确性.
主要方法:
- 开发了一个集成到智能手机应用程序中的语音识别系统.
- 20名参与者戴着三轴加速度计,并使用该应用程序7天.
- 使用从语音数据中获得的代谢等价值 (MET) 来量化运动强度.
主要成果:
- 该应用实现了语音数据自动转换为行为词的78.4%.
- 应用 (1.64) 和加速度计 (1.63) 的平均每日MET值没有显著差异 (P=.57).
- 在应用程序和加速度计测量的MET之间发现了强烈的相关性 (r=0.830,P<.001),平均差异很小 (0.02MET).
结论:
- 与加速度计相比,语音识别应用程序提供了有效和高度相关的身体活动测量.
- 这项技术使大群体能够同时进行低负担的体育活动评估.
- 需要进一步改进数据分类和用户合规性,但语音识别为身体活动评估提供了一种新的方法.
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