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

fYear

2012

fDate

14-16 Aug. 2012

Firstpage

83

Lastpage

86

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Security and Intelligence Control (ISIC), 2012 International Conference on

Conference_Location

Yunlin

Print_ISBN

978-1-4673-2587-5

Type

conf

DOI

10.1109/ISIC.2012.6449713

Filename

6449713