Care-giver alerting for bedridden patients using hand gesture recognition system

Abstract

Abstract Hand gestures are most intrinsic way of non-verbal communication. It has been difficult task for hospitals to remove the miscommunication between patients and the healthcare providers, when patients ask for help in emergency or in need. In healthcare centers like hospitals, some systems are having complicated device installation which are expensive and quite hard cumbersome. Human Computer Interaction plays a predominant role in Hand Gesture recognition (HCI). Human Computer Interaction made easy to communicate between human and machine which grabs good attention now a days. An alerting system makes a better alarm model which notifies care-givers when patients require assistance by giving defined hand gestures. The study is related to hand gesture based alerting system which uses camera module to capture the hand images. The system uses background subtraction, image recognition and speech conversion to notify the healthcare providers. It can be useful in hospitals, rehabilitation centers, or assisted living areas, where health care providers can take care of their patients more attentively. With this alerting system it increases the operational efficiency, responsiveness, patient’s and other stakeholders’ satisfaction. For recognized hand gesture text and voice is obtained as output which alerts the care-giver to help the bed-ridden patients.