Wearable Supernumerary Robotic Limb System Using a Hybrid Control Approach Based on Motor Imagery and Object Detection

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 30; pp. 1298 - 1309
• Main Authors: Tang, Zhichuan, Zhang, Lingtao, Chen, Xin, Ying, Jichen, Wang, Xinyang, Wang, Hang
• Format: Journal Article
• Language: English
• Published: United States IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Control systems; EEG; Electroencephalography; Feature extraction; Grasping; Hardware; Hemiplegia; Human engineering; human-robot interaction; Hybrid control; Hybrid systems; Manipulators; Mental task performance; motion imagery; Motion perception; Motor task performance; Object detection; Object recognition; Robots; Subsystems; Supernumerary; Supernumerary robotic limb; Task analysis; upper limb assistance; Wearable technology

Motor disorder of upper limbs has seriously affected the daily life of the patients with hemiplegia after stroke. We developed a wearable supernumerary robotic limb (SRL) system using a hybrid control approach based on motor imagery (MI) and object detection for upper-limb motion assistance. SRL sys...