Title :
Design of a Context Aware Exercise System paper
Author :
Wen-Fong Wang ; Wei-Jing Liou
Author_Institution :
Comput. Sci. & Inf. Eng., Nat. Yunlin Univ. of Sci. & Technol., Douliu, Taiwan
Abstract :
Recently, context aware has become a popular topic in ubiquitous computing. Most context-aware research combines embedded system devices with context-aware systems to realize a ubiquitous environment. This study proposes a Daily Exercise Context Aware Ontology Model (DEOCAM) and builds a Context Aware Exercise System (CAES), which is free of space limitation. CAES is composed of three parts: Personal Exercise Management System (PEMS), Context Aware System (CAS) and Context Sharing Network Platform (CSNP). The purpose of the system is to recognize the daily activities of users, which is helpful in exercise monitoring for health management. Our experimental results show that the system is effective and feasible for daily activity contexts recognition and moving distance computation.
Keywords :
embedded systems; health care; ontologies (artificial intelligence); sport; ubiquitous computing; CAES; CSNP; DEOCAM; PEMS; context aware exercise system; context sharing network platform; daily activity context recognition; daily exercise context aware ontology model; embedded system device; exercise monitoring; health management; moving distance computation; personal exercise management system; ubiquitous computing; ubiquitous environment; Accuracy; Context; Context modeling; Context-aware services; Legged locomotion; Neural networks; Ontologies; Activity recognition; Context-aware; Neural Network;
Conference_Titel :
Information Security and Intelligence Control (ISIC), 2012 International Conference on
Conference_Location :
Yunlin
Print_ISBN :
978-1-4673-2587-5
DOI :
10.1109/ISIC.2012.6449713
