Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors

• Main Authors: Wang, Ming, Yan, Zheng, Wang, Ting, Cai, Pingqiang, Gao, Siyu, Zeng, Yi, Wan, Changjin, Wang, Hong, Pan, Liang, Yu, Jiancan, Pan, Shaowu, He, Ke, Lu, Jie, Chen, Xiaodong
• Other Authors: School of Materials Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Materials; Convolutional Neural Networks; Network architecture
• Online Access: https://hdl.handle.net/10356/148021
• Institution: Nanyang Technological University

Gesture recognition using machine learning methods is valuable in the development of advanced cybernetics, robotics, and healthcare systems, and typically relies on images or videos. To improve recognition accuracy, such visual data can be fused with data from other sensors, but this approach is lim...