Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Metabolic Rate Estimation for ECG-based Human Adaptive Appliance in Smart Homes

인간 적응형 가전기기를 위한 거주자 심박동 기반 신체활동량 추정

  • Kim, Hyun-Hee (Industrial Science and Technology Institute, Pukyoung National University) ;
  • Lee, Kyoung-Chang (Department of Control and Instrumentation Engineering, Pukyoung National University) ;
  • Lee, Suk (School of Mechanical Engineering, Pusan National University)
  • 김현희 (부경대학교 산업과학기술연구소) ;
  • 이경창 (부경대학교 제어계측공학과) ;
  • 이석 (부산대학교 기계공학부)
  • Received : 2014.02.15
  • Accepted : 2014.03.30
  • Published : 2014.05.01
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Abstract

Intelligent homes consist of ubiquitous sensors, home networks, and a context-aware computing system. These homes are expected to offer many services such as intelligent air-conditioning, lighting control, health monitoring, and home security. In order to realize these services, many researchers have worked on various research topics including smart sensors with low power consumption, home network protocols, resident and location detection, context-awareness, and scenario and service control. This paper presents the real-time metabolic rate estimation method that is based on measured heart rate for human adaptive appliance (air-conditioner, lighting etc.). This estimation results can provide valuable information to control smart appliances so that they can adjust themselves according to the status of residents. The heart rate based method has been experimentally compared with the location-based method on a test bed.

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