Flex Sensor-Based Hand Gesture Detector

Abstract

The purpose of this project is to assist in the rehabilitation of those who have mobility problems, especially paraplegic stroke patients and silent people who find it challenging to interact with others in society. Voice assistants, virtual assistants, and other new technologies have been around for a while, yet many people still find it difficult to use them efficiently and realistically. Elderly, physically handicapped, and bedridden individuals are the main target audiences for the initiative. Hospitals and senior living facilities are the project's application areas. Our prototype can manage such scenarios successfully by identifying the user's hand gestures and delivering notifications to caretakers and hospitals during emergencies where the user is unable to use their cell phone. This system was designed to show built-in necessary commands based on finger movement to get over these difficulties. For detecting finger movement, it has flex sensors. Commands like "Emergency" can be conveyed by gesture from the person. An excellent way to deliver orders is by gestures since they can be utilized in noisy environments, they can be used to communicate in public settings, they can assess their own basic needs, and they do not need to rely on others to lead the patients. To translate hand movements into voice, multipurpose hand gloves are used.