NEUROGLOVE: The AI Driven Revolution in Hand Interaction

Abstract: Assistance for any person with disability in movement is always necessary. Spinal cord injuries, strokes and many more are the reasons for paralysis. In view point of the people with paralysis who can move their finger , we have designed an assistance and remote-control system. Our system differs from traditional assistance systems and methods which require a large hardware setup and bulk software coding which is not feasible to the patient. Our model helps people with paralysis to control their surroundings like controlling the home automation such as bulb, fan etc. For their basic needs such as food, water and many other based on their requirements or any other device using GPS, GSM Modules which helps to track the patent's location to the respective person through simple operations. This proposed model deals with flex sensor placed on finger. It picks up bending in finger and translates to a selective control. Further the Arduino micro-controller is used which assists the patient and communicates the patient's condition to the concerned person using one of its units in case of emergency.

Keywords: Hand Glove, Flex sensors, GSM and GPS modules, Home automation, IOT