Real-time human activity recognition with imu and encoder sensors in wearable exoskeleton robot via deep learning networks

HIGHLIGHTS

• who: Ismael Espinoza Jaramillo et al. from the Department of Electronics and Information Convergence Engineering, Kyung University, Yongin, Republic of Korea have published the research: Real-Time Human Activity Recognition with IMU and Encoder Sensors in Wearable Exoskeleton Robot via Deep Learning Networks, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of 31/Oct/2022
• what: This work implements a real-time activity recognition system based on the activity signals of an inertial measurement unit (IMU) and a pair of rotary encoders integrated into the exoskeleton robot. The authors have implemented a real . . .
  

   

  

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