CogWatch:一个开源平台,用于监测认知工作负载和压力的生理指标
Louis J Dankovich1, Janell S Joyner1, William He1
1University of Maryland at College Park, James A. Clark School of Engineering, 8228 Paint Branch Dr, College Park, MD 20742, United States.
这项研究介绍了一个开源的,手表式的生理追踪器,用于监测认知工作负载. 这种具有成本效益的设备使用易于获得的组件,提供了可行的研究和教育工具.
科学领域:
- 人与计算机的交互
- 物理计算生理学计算
- 可穿戴技术可穿戴技术
背景情况:
- 认知工作负载通过影响警和响应时间,影响用户的性能和安全.
- 身体指标,如心率,呼吸速率,皮肤电动反应和皮肤温度,用于推断认知工作负载.
- 现有的生理监测解决方案往往昂贵,缺乏数据透明度,或者对于实践研究来说太麻烦了.
研究的目的:
- 开发和验证一个开源的,具有成本效益的手表形式因素中的生理追踪器.
- 为认知工作量和压力监测研究提供透明和可访问的工具.
- 通过方便且负担得起的生理传感解决方案,实现研究和教育应用.
主要方法:
- 利用传统的现成元件构建一个可穿戴的生理追踪器.
- 集成传感器用于测量与认知工作负载相关的关键生理指标.
- 验证了开发的腕表式生理追踪器的性能.
主要成果:
- 成功开发了一种功能性生理追踪器,具有腕表形式因素.
- 该设备使用易于获得的组件,确保成本效益.
- 追踪器提供了一个可行的替代性昂贵和杂的监控系统.
结论:
- 使用可访问的组件可以有效地创建基于手表的开源生理追踪器.
- 这种解决方案为研究和教育中的生理监测提供了一种具有成本效益和实用的方法.
- 开发的工具解决了当前消费者和高端生理监测系统的局限性.
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