title: Fuzzy Computing Model of Activity Recognition on WSN Movement Data for Ubiquitous Healthcare Measurement.
abstract: Ubiquitous health care (UHC) is beneficial for patients to ensure they complete therapeutic exercises by self-management at home. We designed a fuzzy computing model that enables recognizing assigned movements in UHC with privacy. The movements are measured by the self-developed body motion sensor, which combines both accelerometer and gyroscope chips to make an inertial sensing node compliant with a wireless sensor network (WSN). The fuzzy logic process was studied to calculate the sensor signals that would entail necessary features of static postures and dynamic motions. Combinations of the features were studied and the proper feature sets were chosen with compatible fuzzy rules. Then, a fuzzy inference system (FIS) can be generated to recognize the assigned movements based on the rules. We thus implemented both fuzzy and adaptive neuro-fuzzy inference systems in the model to distinguish static and dynamic movements. The proposed model can effectively reach the recognition scope of the assigned activity. Furthermore, two exercises of upper-limb flexion in physical therapy were applied for the model in which the recognition rate can stand for the passing rate of the assigned motions. Finally, a web-based interface was developed to help remotely measure movement in physical therapy for UHC.
authors.affiliation: Department of Information and Telecommunications Engineering, Ming Chuan University, Gui-Shan, Taoyuan 333, Taiwan. sychiang@mail.mcu.edu.tw.
authors.forename: Shu-Yin
authors.initials: SY
authors.lastname: Chiang
authors.affiliation: Department of Communications Engineering, Yuan Ze University, Chung-Li, Taoyuan 320, Taiwan. yckan@saturn.yzu.edu.tw.
authors.forename: Yao-Chiang
authors.initials: YC
authors.lastname: Kan
authors.affiliation: Department of Physical Therapy, China Medical University, 91 Hsueh-Shi Road, Taichung 40402, Taiwan. u103009405@cmu.edu.tw.
authors.forename: Yun-Shan
authors.initials: YS
authors.lastname: Chen
authors.affiliation: Department of Information and Telecommunications Engineering, Ming Chuan University, Gui-Shan, Taoyuan 333, Taiwan. conanto1986@hotmail.com.
authors.forename: Ying-Ching
authors.initials: YC
authors.lastname: Tu
authors.affiliation: Department of Health Risk Management, China Medical University, 91 Hsueh-Shi Road, Taichung 40402, Taiwan. snowlin@mail.cmu.edu.tw.
authors.forename: Hsueh-Chun
authors.initials: HC
authors.lastname: Lin
mesh_terms: D000054:Acceleration; D000465:Algorithms; D003195:Computer Communication Networks; D003695:Delivery of Health Care; D017143:Fuzzy Logic; D006801:Humans; D008962:Models, Theoretical; D009068:Movement; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated; D012815:Signal Processing, Computer-Assisted; D000076251:Wearable Electronic Devices; D059015:Wireless Technology
keywords: WSN; accelerometer; activity recognition; gyroscope; neuro fuzzy; ubiquitous health care