使用安装在天花板上的超宽带雷达和基于注意力的模式融合的办公室姿势检测
Wei Lu1,2, Christopher Bird1,3, Moid Sandhu1,4
1Australian e-Health Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD 4029, Australia.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
这项研究引入了安装在天花板上的超宽带 (UWB) 雷达系统,用于不引人注目的办公室姿势监控. 这种新系统精确地区分工作姿势和伸展姿势, 提高工作场所的健康和安全.
科学领域:
- 人与计算机的交互
- 可穿戴技术
- 工程学
背景情况:
- 在办公室长时间的久坐会增加肌肉骨和代谢障碍的风险.
- 现有的工作场所延伸监控方法面临隐私和传感器放置的限制.
- 需要有效的保护隐私的解决方案来监控办公室工作者的姿势.
研究的目的:
- 提出和评估安装在天花板上的超宽带 (UWB) 雷达系统,用于保护隐私的办公室姿势分类.
- 评估两个融合模型的性能,即ConcatFusion和AttnFusion,用于姿势识别.
- 展示该系统对实时人体工程学评估和工作场所健康整合的潜力.
主要方法:
- 收集了来自10名参与者的UWB雷达数据,用于5种情况 (坐着/站着工作/伸展,空环境).
- 将雷达距离和多普勒信息转换为特定模式的图像.
- 使用ConcatFusion (基线) 和AttnFusion (以注意力为基础) 模型进行姿势分类,通过离开一个受试者的交叉验证进行评估.
主要成果:
- 与ConcatFusion相比,AttnFusion模型实现了更高的性能.
- AttnFusion的测试准确率为90.6%,宏观F1得分为90.5%.
- 已证明UWB雷达和基于注意力的融合对姿势的监控具有很高的有效性.
结论:
- 顶部安装的UWB雷达提供了一个可行的,保护隐私的办公室姿势监控方法.
- 基于注意的模式融合 (AttnFusion) 显著提高了分类的准确性.
- 该系统有望改善工作场所的人体工程学和健康和安全计划.
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