Hand Gesture Recognition From Wrist-Worn Camera for Human-Machine Interaction

• Published in: IEEE access Vol. 11; pp. 53262 - 53274
• Main Authors: Nguyen, Hong-Quan, Le, Trung-Hieu, Tran, Trung-Kien, Tran, Hoang-Nhat, Tran, Thanh-Hai, Le, Thi-Lan, Vu, Hai, Pham, Cuong, Nguyen, Thanh Phuong, Nguyen, Huu Thanh
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Cameras; Computer architecture; Computer Science; Convolutional neural network; Convolutional neural networks; Datasets; Feature extraction; Gesture recognition; hand gesture recognition; Household appliances; Human computer interaction; human-machine interaction; Optical flow (image analysis); Prototypes; Sensors; Video data; Wearable sensors; Wrist
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2023.3279845

In this work, we study the ability to use hand gestures for human-machine interaction from wrist-worn sensors. Towards this goal, we design a wrist-worn prototype to capture RGB video stream of hand gestures. Then we built a new wrist-worn gesture dataset (named WiGes) with various subjects in inter...