Implementation of a wearerable real-time system for physical activity recognition based on Naive Bayes classifier
作者： Xiuxin Yang , Anh Dinh , Li Chen
DOI: 10.1109/ICBBT.2010.5479000
关键词:
摘要: In this paper, we implement a wearable real-time system on the Sun SPOT wireless sensors with Naive Bayes algorithm to recognize physical activity. is demonstrated work better than other algorithms both in accuracy performance and computational time particular application. 20Hz selected as sampling rate. terms of sensor location, one attached thigh 87.55% overall provides most useful information shank or chest. If two are available, combination attaching them left right respectively be optimal solution for recognizing activity, 90.52% accuracy.
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