Prediction of Sit-to-Stand Time Using Trunk Angle and Lower Limb EMG for Assistance System
Prediction of Sit-to-Stand Time Using Trunk Angle and Lower Limb EMG for Assistance System
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DOI：
10.1109/iicaiet49801.2020.9257818
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发表时间：
2020-09
期刊：
影响因子：
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通讯作者：
Tsuyoshi Inoue;R. Matsuo
中科院分区：
文献类型：
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作者：
Tsuyoshi Inoue;R. Matsuo
在这里，我们提出了一种预测用户运动辅助系统从坐到站时间的方法。该方法基于多元回归分析，利用躯干角度和下肢肌肉活动的变化来预测从坐到站的时间。为了验证所提出方法的准确性并评估各种站立速度的数据，我们对九名参与者进行了实验。评估结果表明，与传统方法相比，该方法平均误差降低了约35.6%。
Herein, we propose a method to predict the sit-to-stand time of a user movement assist system. The proposed method predicts the sit-to-stand time using changes in the trunk angle and lower limb muscle activity, based on multiple regression analysis. To verify the accuracy of the proposed method and evaluate data regarding various standing speeds, we conducted experiments on nine participants. The evaluation results show that the proposed method reduced the average error by approximately 35.6% when compared to the conventional method.