Published in 2019 International Conference on Internet of Things, 2019
A wearable gesture recognition system that identifies the alphabetic gestures in the American Sign Language (ASL) efficiently, requiring minimal user calibration.
Recommended citation: S. S. Ahmed, H. Gokul, P. Suresh and V. Vijayaraghavan, "Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL," 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Atlanta, GA, USA, 2019, pp. 1080-1087. https://ieeexplore.ieee.org/abstract/document/8875343/