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  • Topic: Wireless sensor network, Sensor, Human behavior
  • Pages : 6 (1718 words )
  • Download(s) : 52
  • Published : March 30, 2014
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Wireless-sensor-network-based home monitoring system for elderly activity behavior involves functional assessment of daily activities. In this paper, we reported a mechanism for estimation of elderly well-being condition based on usage of house-hold appliances connected through various sensing units. We defined two new wellness functions to determine the status of the elderly on performing essential daily activities. The developed system for monitoring and evaluation of essential daily activities is to be tested at the homes of four different elderly persons living alone and the results are to be obtained.

A NORMAL person performs daily activities at regular interval of time. This implies that the person is mentally and physically fit and leading a regular life. This tells us that the overall well-being of the person is at a certain standard. If there is decline or change in the regular activity, then the wellness of the person is not in the normal state.

Elderly people desire to lead an independent lifestyle, but at old age, people become prone to different accidents, so living alone has high risks and is recurrent. A growing amount of research is reported in recent times on development of a system to monitor the activities of an elderly person living alone so that help can be provided before any unforeseen situation happened.

In the present work, an intelligent home monitoring system based on ZigBee wireless sensors network has been designed and developed to monitor and evaluate the well-being of the elderly living alone in a home environment. Wellness of elderly can be evaluated for forecasting unsafe situations during monitoring of regular activities.

The developed system is intelligent, robust and does not use any camera or vision sensors as it intrudes privacy. Based on a survey among elderly we find that it has a huge acceptability to be used at home due to non use of the camera or vision based sensors. The intelligent software, along with the electronic sys-tem, can monitor the usage of different household appliances and recognize the activities to determine the well-being of the elderly. Also, the system interprets all the essential elderly activities such as preparing breakfast/lunch/dinner, showering, rest-room use, dinning, sleeping and self grooming. Basically, the system function based on the usage data of electrical and non-electrical appliances within a home. The system has been developed to be used in an existing home occupied by an elderly rather than a test bed scenario or for a newly built house.

At the hardware level, wireless sensor network with ZigBee components are connected in the form of mesh topology, and a central coordinator of the sensing units collect data from the sensors connected to various appliances. The developed software system continuously reads the data from the coordinator and efficiently stores on the system for further data processing in real time.

The data processing involves steps for wellness check based on the knowledge of daily activities performed in conjunction with the usage of house-hold appliances, for predicting change in the daily activity pattern of the system. In this system, a required number of sensors for monitoring the daily activities of the elderly have been used. Increase of a number of sensors increases the cost of the system and may also complicate the installation issues.

In real practice applications such as surveillance and security make full use of camera based system but for home monitoring activities it lacks a huge acceptability among the elderly. Other than camera, infrared based Small Motion Detectors (SMDs), passing sensors, operation detectors and IR motion sensors have been incorporated in the house for monitoring the human activity behavior and the...
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