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With the global trend of population aging in industrialized countries, efficient information and communication technologies (ICT) for aiding elders or patients' healthcare have attracted great research attentions. Among these technologies, health state sensing by wearable sensors and mobile phones is an important foundation. It monitors the real-time body states; stores, or sends the result to remote...
Natural user interfaces that detect gestures from acceleration data require fast and highly accurate signal matching algorithms to provide fluid interaction. In this paper, we contribute a novel system that uses Haar transform and Support Vector Machines for accelerometer-based gesture recognition. We benchmarked it using the uWave gesture library and found around 99% recognition accuracy after tenfold...
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