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http://dx.doi.org/10.5302/J.ICROS.2014.14.9026

Metabolic Rate Estimation for ECG-based Human Adaptive Appliance in Smart Homes  

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)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.20, no.5, 2014 , pp. 486-494 More about this Journal
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.
Keywords
human adaptive appliance; HRI (Human Robot Interaction); smart home; PILAS (PIR sensor-based Indoor Location-Aware Systems); location-based service; heart-based service; heart rate; metabolic rate; physical activity; PMV (Predicted Mean Vote);
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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