A Preliminary Activity Recognition of WSN Data on Ubiquitous Health Care for Physical Therapy
作者： S. -Y. Chiang , Y. -C. Kan , Y. -C. Tu , H. -C. Lin
DOI: 10.1007/978-3-642-28807-4_64
关键词: Sitting 、 Activity recognition 、 Health care 、 Computer science 、 Rehabilitation 、 Geriatrics 、 Physical therapy 、 Wireless sensor network 、 Accelerometer 、 Body area network
摘要: The physical therapy with ubiquitous health care (UHC) for geriatrics training or stroke patients requires continuous and routine rehabilitation during the cure period. physiatrists are hereby feedback clinical record to design necessary assistant programs. successful treatment usually concerns whether follow therapeutic assignment without interruption. This study hence developed a set of wireless sensor network (WSN) devices including accelerometer gyroscope measure essential movement human body. At this initial stage, data static dynamic postures lying, sitting, standing, walking, running were calibrated by fuzzy algorithm an overall accuracy rate at best 99.33%. approach may support monitoring patient’s remedy process home therapy.
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