上下文感知练习系统的设计论文

Wen-Fong Wang, Wei-Jing Liou
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引用次数: 0

摘要

近年来,上下文感知已经成为泛在计算中的一个热门话题。大多数上下文感知研究将嵌入式系统设备与上下文感知系统相结合,以实现无处不在的环境。本研究提出了一个日常运动情境感知本体模型(DEOCAM),构建了一个不受空间限制的情境感知运动系统(CAES)。CAES由三个部分组成:个人运动管理系统(PEMS)、情境感知系统(CAS)和情境共享网络平台(CSNP)。该系统的目的是识别用户的日常活动,有助于进行运动监测,进行健康管理。实验结果表明,该系统在日常活动语境识别和移动距离计算中是有效可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a Context Aware Exercise System paper
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.
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