Robot Sensor Companion for the Elderly Care and Home Control

Abstract

To reduce the cost of health care and improve the quality of life of older people, more and more robots They are designed to interact with a person to provide the type of care they can traditionally offer Occupational Health Care. The approach is to design a significant "independent robot" to monitor the older person. This design also includes an integrated circuit to control the home appliances, Android sensor and health and safety Security to home. The main automated system is designed using berry b, a low-cost credit card size One computer board. The goal is to prepare a low-cost home robot companion to provide some care for the elderly Someone through the health monitor through the band provided to that person. In the end, the home companion home Be able to navigate independently in typical home environments to perform tasks such as health monitoring of Older, home appliance control, sensors for safety and security, in an emergency have a large cloud access using Internet things (internet Of things). Medical Reminder etc ... The aim of this project is used to control a wheel chair by using EyeBlink  technology. Eye Blink Sensor which is a highly sensitive sensor and capable of detecting the EyeBlink of a human This sensor detects the Eye Blink and makes use to change the direction of the wheel chair depending on Number of Eye Blinks based Gesture Controlled Robot is a kind of robot that can be by our hand gestures rather than an ordinary old switches or keypad. In Future there is a chance of making robots that can interact with humans in an natural manner. Hence our target interest is with hand motion based gesture interfaces. An innovative Formula for gesture recognition is developed for identifying the distinct action signs made through hand movement. A MEMS Sensor was used to carry out this and also an Ultrasonic sensor for convinced operation. In order to full-fill our requirement a program has been written and executed using a microcontroller system. Upon noticing the results of experimentation proves that our gesture formula is very competent and it’s also enhance the natural way of intelligence and also assembled in a simple hardware circuit.