An Intelligent Gesture Recognition Gloves for Real-time Monitoring in Wireless Human-Computer Interaction

Flexible sensors mimic the sensing ability of human skin, and have unique flexibility and adaptability, allowing users to interact with intelligent systems in a more natural and intimate way. In order to solve the problem of high sensitivity and wide operating range of flexible strain sensors, this study presents an innovative preparation method to develop a conductive elastomeric sensor with a cracked thin film by combining polydimethylsiloxane (PDMS) with multi-walled carbon nanotubes (MCNTs), which significantly improves the sensitivity and overcomes the limitation of the operating range (strain range 0-50%, GFmax= 4.97). And it has the advantages of simple preparation, low price and large-scale preparation. These sensors are affixed to the joints of the fingers and integrated with a dedicated hardware and software system to enable real-time monitoring of finger status and accurate gesture recognition, as well as the use of machine-learning algorithms to categorize American gestures with an accuracy of up to 97%. This innovation provides strong support for the future development of intelligent interactive systems.