Intelligent\nGesture Recognition Gloves for Real-Time\nMonitoring in Wireless Human–Computer Interaction

Flexible\nsensors mimic the sensing ability of human skin, and have\nunique flexibility and adaptability, allowing users to interact with\nintelligent systems in a more natural and intimate way. To overcome\nthe issues of low sensitivity and limited operating range of flexible\nstrain sensors, this study presents a highly innovative preparation\nmethod to develop a conductive elastomeric sensor with a cracked thin\nfilm by combining polydimethylsiloxane (PDMS) with multiwalled carbon\nnanotubes (MCNT). This novel design significantly increases both the\nsensitivity and operating range of the sensor (strain range 0–50%;\nthe maximum tensile sensitivity of this sensor reaches 4.97), marking\na breakthrough in flexible sensor technology. The sensor can also\nbe fabricated easily and inexpensively which is suitable for large-scale\nproduction, indicating its significant application potential. Combined\nwith a dedicated hardware and software system, the sensors enable\nreal-time monitoring of the finger status and accurate gesture recognition.\nFurthermore, machine-learning algorithms were used to identify American\nSign Language gestures with an accuracy of up to 97%. This innovative\nhuman–machine interface provides important support for the\nfuture development of intelligent interactive systems, and is of great\nsignificance in promoting the progress of advanced human–computer\ninteraction technologies.