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Exercise Evaluation Using Wrist Sensors

机译:使用手腕传感器进行运动评估

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摘要

Exercises are effective and efficient for both major disease recovery and prevention. Home-based exercises significantly reduce the cost of the exercise, the quality of the home-based exercises, however, needs to be monitored and evaluated to guarantee the effectiveness of the exercises. This work proposes a lightweight algorithm to evaluate the accuracy of the performed exercise by analyzing the data collected from sensors attached to the wrist of the exercisers. When the exercise is performed at home, features that model exercise are extracted from the collected sensor data. Then these features are compared with a pre-stored true model defined by exercise coaches, and exercise accuracy evaluation is generated.
机译:锻炼对于重大疾病的恢复和预防都是有效的。家庭练习显着降低了练习成本,但是,需要对家庭练习的质量进行监控和评估,以保证练习的有效性。这项工作提出了一种轻量级算法,通过分析从附着在锻炼者手腕上的传感器收集的数据来评估进行的锻炼的准确性。在家里进行锻炼时,会从收集的传感器数据中提取模拟锻炼的特征。然后将这些特征与运动教练定义的预先存储的真实模型进行比较,并生成运动准确性评估。

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