A preliminary activity recognition of WSN data on ubiquitous health care for physical therapy

Abstract

The physical therapy with ubiquitous health care (UHC) for geriatrics training or stroke patients requires continuous and routine rehabilitation during the cure period. The physiatrists are hereby the feedback clinical record to design necessary assistant programs. The successful treatment usually concerns whether the patients follow the therapeutic assignment without interruption. This study hence developed a set of wireless sensor network (WSN) devices including the accelerometer and gyroscope to measure the essential movement of human body. At this initial stage, the sensor data of static and dynamic postures for lying, sitting, standing, walking, and running were calibrated by the fuzzy algorithm with an overall accuracy rate at best to 99.33%. The approach may support for monitoring patient's remedy process at home for ubiquitous health care of physical therapy. © 2013 Springer-Verlag GmbH.