A noise-tolerant human–machine interface based on deep learning-enhanced wearable sensors
Xiangjun Chen, Zhiyuan Lou, Xiaoxiang Gao, Lu Yin, Siyu Qin, Muyang Lin, Fangao Zhang, Yi Lu, Shichao Ding, Ruixiao Liu, Selene Tang, Sai Zhou, Dennis T. Dang, Xinyi Yang, Zihan Wu, Ziyang Zhang, Hongjie Hu, Xinyu Wang, Yangzhi Zhu, Yuchen Xu, Sheng Ren, Jiachi Zhou, Chengchangfeng Lu, Ruotao Wang, Wentong Yue, Hao Huang, Ray S. Wu, Yizhou Bian, Geonho Park, Jian Cao, Xueping Liu, Deying Luo, Gert Cauwenberghs, Joseph Wang, Sheng Xu
Topics & Concepts
Wearable computerArtificial intelligenceGestureComputer scienceGesture recognitionInterface (matter)Computer visionConvolutional neural networkInertial measurement unitMotion (physics)Wearable technologyMicrocontrollerBluetoothArtificial neural networkRoboticsMotion controlDeep learningTransmission (telecommunications)AccelerometerDynamic time warpingMobile deviceHuman–computer interactionRobotMatch movingUser interfaceMotion detectionWired gloveMotion sensorsRobotic armWireless sensor networkContext-Aware Activity Recognition SystemsProsthetics and Rehabilitation RoboticsAdvanced Sensor and Energy Harvesting Materials