作者: Do-Un Jeong , Wan-Young Chung
DOI: 10.5369/JSST.2007.16.6.467
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摘要: The real-time monitoring about the activity of human provides useful information quantity and ability. present study implemented a small-size low-power acceleration system for convenient recognition emergent situations such as falling during daily life. For wireless transmission sensor signal, we developed based on network. In addition, program storing wirelessly transmitted signals PC in real-time. performance was evaluated by assessing output characteristic according to change posture, parameters acontext algorithm were order monitor volume life recognize falling. particular, error sudden minimized application correction