海报摘要:MARS:一种使用惯性传感器的肌肉活动识别系统

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2012-04-16 DOI:10.1145/2185677.2185695

Frank Mokaya, Cynthia Kuo, Pei Zhang

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引用次数: 2

摘要

我们介绍了MARS，一个肌肉活动识别系统，它使用惯性传感器来捕捉活动肌肉的振动。具体来说，我们展示了如何利用加速度计数据捕获人类腿的股四头肌、腘绳肌和小腿肌肉的这些振动来创建肌肉振动特征。我们最终表明，这些振动特征可以用来区分这些肌肉，精确度和召回率超过85%。

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Poster abstract: MARS: A muscle activity recognition system using inertial sensors

We present MARS, a muscle activity recognition system that uses inertial sensors to capture the vibrations of active mus-cles. Specifically, we show how accelerometer data capturing these vibrations in the quadriceps, hamstrings and calf muscles of the human leg, can be leveraged to create muscle vibration signatures. We finally show that these vibration signatures can be used to distinguish these muscles from each other with greater than 85% precision and recall.

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来源期刊

2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN)

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