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How to record the amount of exercise automatically? A general real-time recognition and counting approach for repetitive activities

机译：如何自动记录运动量？重复性活动的通用实时识别和计数方法

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摘要

Exercise is considered as an effective mean against overweight and obesity-related diseases. In this paper, a real-time activity recognition and counting approach is proposed to evaluate amount of exercise only using a wearable smart watch. First, accelerometer and gyroscope data are collected to extract efficient features. Then Support Vector Machine classifiers are trained to recognize nine common exercise activities in real time. In order to measure the frequency of repetitive activity, a general activity counting algorithm based on gyroscope is proposed which is applicable for different types of activity. Various activities can be counted uninterruptedly using the proposed general method without frequently changing algorithms. Through experiments, it is demonstrated that the extracted features are efficient for real time exercise activity recognition. Moreover, our comparative experiments have shown that our counting approach is more accurate than other products on the market.
机译：运动被认为是对抗超重和肥胖相关疾病的有效手段。本文提出了一种实时活动识别和计数方法，仅使用可穿戴智能手表评估运动量。首先，收集加速度计和陀螺仪数据以提取有效特征。然后训练支持向量机分类器，以实时识别九种常见锻炼活动。为了测量重复活动的频率，提出了一种通用的基于陀螺仪的活动计数算法，该算法适用于不同类型的活动。使用提出的通用方法可以不间断地对各种活动进行计数，而无需频繁更改算法。通过实验证明，所提取的特征对于实时运动活动识别是有效的。此外，我们的对比实验表明，我们的计数方法比市场上其他产品更为准确。

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