Using Adaptive Directed Acyclic Graph for Human In-Hand Motion Identification with Hybrid Surface Electromyography and Kinect

• Published in: Symmetry (Basel) Vol. 14; no. 10; p. 2093
• Main Authors: Xue, Yaxu, Yu, Yadong, Yin, Kaiyang, Du, Haojie, Li, Pengfei, Dai, Kejie, Ju, Zhaojie
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2022
• Subjects: Algorithms; Bionics; Classification; Computer architecture; Data acquisition; Dextrous hands; Electromyography; End effectors; Hands; Human motion; Machine learning; Methods; Modal data; Motion perception; Recognition; Robotics; Robots; Sensors; Signal processing; Skills; Support vector machines; Task complexity

The multi-fingered dexterous robotic hand is increasingly used to achieve more complex and sophisticated human-like manipulation tasks on various occasions. This paper proposes a hybrid Surface Electromyography (SEMG) and Kinect-based human in-hand motion (HIM) capture system architecture for recogn...