2. the language of glove: a wearable wireless gesture decoder for low-power, flexible and stretchable hybrid electronics
Name: Timothy Francis Oconnor
Grad Year: 2017
This demonstration describes in detail the design of a gesture recognition glove capable of wirelessly translating the physical gestures of the American Sign Language alphabet into text that was displayed on the screen of a computer or cellular device. To build this human-machine interface, elastomeric strain sensors comprising a piezoresistive composite of nanoscale carbon particles and fluoroelastomer were designed and integrated with wearable circuits, open source MCUs, and Bluetooth communications. Finite element analysis was used to model the strain distribution across the sensors during the flexing of the fingers and approximate the peak strain on the sensors to be roughly 5.5%. From the results of fatigue studies we found that the sensors could successfully detect the articulation of the knuckles for a least 1,000 cycles. The gesture recognition system was able to successfully translate all of the letters of the ASL alphabet. Lastly, data taken from the glove was used to control a virtual hand, demonstrating the applications stretchable and wearable electronics will have in the development of new human-machine interfaces and virtual environments.
Industry Application Area(s)
Electronics/Photonics | Life Sciences/Medical Devices & Instruments | Materials