Optimized multi sensor wireless system for elderly health monitoring

In the research of old age health monitoring cognitive wireless sensors are implemented to monitor the daily activities of elderly people. In fact, a large number of sensors like motion sensor, force sensor, flow sensor and current sensors are widely used. But we have observed that some redundancies exist in the usage of motion, force and flow sensors and that could be controlled by reducing the number of sensor nodes to minimize the electrical load and cost. In this paper we are optimizing the selection of the sensor nodes based on performance parameters like ease of installation, power consumption, cost and probability of false signals through a type-1 fuzzy decision making system. It has been observed that the performance of motion sensor is better than that of the flow and force sensors. Thus a multi sensor wireless system using motion and current sensor nodes have been fabricated and installed in the house of an elderly woman. It has been observed that the optimized system has been able to record correctly the daily activities.