对预防道路交通事故的生理参数和驾驶员姿势的分析:一篇综述
Alparslan Babur1,2, Ali Moukadem2, Alain Dieterlen2
1Institute of Technical Medicine, Faculty of Health, Medical and Life Sciences, Furtwangen University of Applied Sciences, 78120 Furtwangen, Germany.
Sensors (Basel, Switzerland)
|October 16, 2025
概括
本综述分析了使用生理监测和运动检测的事故预防技术. 目前的方法看起来很有前途,但与微妙的运动和杂的生理数据作斗争.
科学领域:
- 生物医学工程 生物医学工程
- 人与计算机的交互
- 可穿戴技术可穿戴技术
背景情况:
- 预防事故依赖于监测生理状态和运动.
- 现有的方法利用生理参数和压力传感用于位置识别.
研究的目的:
- 审查和定量分析事故预防方法.
- 确定当前传感器技术和用于生理和运动监测的数据分析的局限性.
主要方法:
- 深入的文献搜索和发表论文的定量分析.
- 提取对主题,场景,传感器类型,机器学习和研究设置的数据.
- 专注于姿势识别和生理参数测量.
主要成果:
- 大多数姿势识别系统检测基本的座位运动; 其他人专注于卧床的人.
- 生理监测通常测量心率和呼吸率.
- 机器学习越来越多地用于这些系统中的分类和回归.
结论:
- 目前的事故预防方法取得了令人满意的结果,但未能检测到微妙的运动.
- 在优化传感器拓和采样频率以检测细微运动方面仍然存在挑战.
- 噪音环境对准确的生理测量构成重大挑战,例如心率和血压.
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