arXiv · ML· Ihsan Ul Haq (Centre for Computational Science and Mathematical Modelling, Coventry University, United Kingdom, School of Architecture and Built Environment Deakin University, Australia), James Brusey (Centre for Computational Science and Mathematical Modelling, Coventry University, United Kingdom), Farnad Nasirzadeh (School of Architecture and Built Environment Deakin University, Australia), Chandan Karmakar (School of Information Technology Deakin University, Australia)·· 4 小时前AI 评分20
可穿戴 IMU 系统职业活动识别：基于 VTT-ConIoT 基准的系统配置敏感性分析
Towards Field-Deployable Wearable IMU Systems for Occupational Activity Recognition
AI 导读
基于 VTT-ConIoT 基准对可穿戴 IMU 系统职业活动识别进行系统配置敏感性分析，在留一法协议下，16 类多传感器配置的单被试精度在 61.9% 至 88.7% 之间波动，平均为 77.5%。
来源：arXiv · ML · arxiv.org