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Sensors 2017, 17(5), 1182; doi:10.3390/s17051182

Hybrid-Aware Model for Senior Wellness Service in Smart Home

Sookmyung Women’s University, Seoul 04310, Korea
Academic Editor: Monica Florescu
Received: 31 March 2017 / Revised: 30 April 2017 / Accepted: 17 May 2017 / Published: 22 May 2017
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Abstract

Smart home technology with situation-awareness is important for seniors to improve safety and security. With the development of context-aware computing, wearable sensor technology, and ubiquitous computing, it is easier for seniors to manage their health problem in smart home environment. For monitoring senior activity in smart home, wearable, and motion sensors—such as respiration rate (RR), electrocardiography (ECG), body temperature, and blood pressure (BP)—were used for monitoring movements of seniors. For context-awareness, environmental sensors—such as gas, fire, smoke, dust, temperature, and light sensors—were used for senior location data collection. Based on senior activity, senior health status can be classified into positive and negative. Based on senior location and time, senior safety is classified into safe and emergency. In this paper, we propose a hybrid inspection service middleware for monitoring elderly health risk based on senior activity and location. This hybrid-aware model for the detection of abnormal status of seniors has four steps as follows: (1) data collection from biosensors and environmental sensors; (2) monitoring senior location and time of stay in each location using environmental sensors; (3) monitoring senior activity using biometric data; finally, (4) expectation-maximization based decision-making step recommending proper treatment based on a senior health risk ratio. View Full-Text
Keywords: context-aware; inspection service middleware; smart home context-aware; inspection service middleware; smart home
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Jung, Y. Hybrid-Aware Model for Senior Wellness Service in Smart Home. Sensors 2017, 17, 1182.

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