Hybrid-Aware Model for Senior Wellness Service in Smart Home

Sensors
Yuchae Jung

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) ...Continue Reading

References

Oct 6, 2009·Current Protocols in Neuroscience·Ian G Campbell
Apr 1, 2011·Journal of the American Medical Directors Association·Jennifer Gonik Chester, James L Rudolph
May 7, 2015·Sensors·Hemant GhayvatNagender Suryadevara

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Methods Mentioned

BETA
biosensors

Software Mentioned

HyBus
AlarmNet
R
CDSS ( Clinical Decision Support System )
Neurosky mindwave mobile

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