Abstract
With the development of social economy in the 21st century, and the rising of medical level, the aging of population have become a global trend. However lots of elderly people are in “empty nest” state. In order to solve the problem of high risk of daily life in this group, this paper proposed a method to integrate the information of video images, sound, infrared, pulse, and other information into the elderly care system. The whole system consists of four major components, that is, the main control board, the information acquisition boards, the server, and the client. The control board receives, processes and analyzes the data collected by the information acquisition boards, and uploads necessary information to the server, which are to be saved to the database. When something unexpected occurs to the elderly, the system will notify the relatives through the GPRS (general packet radio service) module. The system also provides an interface for the relatives to inquire the living status of the elderly through an app. The system can monitor the living status for the elderly with the characteristics of quick response, high accuracy, and low cost and can be widely applied to the elderly care at home.
Highlights
The aging of population is a global issue [1], especially in China
We propose an elderly care system based on multi-information fusion technology, using video processing technology as the core, combined with sound detection, infrared detection, and pulse detection
We propose an elderly care system based on multiple information fusion
Summary
The aging of population is a global issue [1], especially in China. Most children who are busy with their work have little time to take care of their parents and have a great pressure on parent support. Developing an elderly care and monitoring system which meets the privacy protection requirement has great significance in family, social, and practice value. Suryadevara and Mukhopadhyay [8] proposed a wireless sensor network-based home monitoring system for wellness determination of elderly. We propose an elderly care system based on multi-information fusion technology, using video processing technology as the core, combined with sound detection, infrared detection, and pulse detection. In order to obtain the living information of the elderly without privacy disclosure, several information acquisition boards armed with infrared sensors, laser sensors, sound sensors, and pulse sensors are used at the gate, in the toilet, and in the bedroom.
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