John C Mitchell1,2, Abbas A Dehghani-Sanij1, Shengquan Xie3

  • 1School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK.

PubMed
概括

这项研究介绍了背景意识的人类活动识别 (CAHAR) 数据集,这是第一个将活动和地形标记为改进远程步行分析的数据集. 这个资源使得先进的可穿戴传感器模型能够用于降落风险评估.

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