HAND GESTURE RECOGNITION SYSTEM FOR ENHANCED INTERACTION AND ASSISTANCE FOR ELDERLY PEOPLE

The Hand Gesture Recognition System for Enhanced Interaction and Assistance for Elderly People (HGRS-EIAEP) offers a novel approach to promoting healthy communication and assistance for the senior citizenry. As society ages and demographics shift, there is an increasing demand for innovative ways to support the elderly in daily interactions and activities. Cognitive decline or dexterity issues can make it challenging for older adults to use traditional interfaces like touchscreens and keyboards. The use of natural hand movements for communication and control makes gesture-based interaction systems a feasible replacement. To address the special requirements of the elderly, this study proposes a cutting-edge hand gesture detection system. To accurately interpret a wide range of hand gestures in the system, hardware and software components collaborate.The system can accurately and consistently recognize a variety of hand gestures with the aid of state-of-the-art machine learning and computer vision algorithms. Users with varying abilities can utilize it since it can adapt to their individual preferences and consider variations in the way a gesture is performed. The primary aim of the HGRS-EIAEP is to enhance the involvement and assistance provided to elderly individuals in diverse domains, including everyday duties, correspondence, and leisure activities. The technology offers basic gesture-based control of electronic devices, such as smartphones, tablets, and home appliances, allowing elderly individuals to perform activities efficiently and on their own. Furthermore, hand motions can be converted into text or voice using the gadget, making it a useful tool for communication.