Papers

1

Total Citations

25

H-Index

1

About

Dr. Sion An is a leading researcher in neural engineering and human-machine interaction, whose work focuses on restoring intuitive control and sensory feedback for advanced prosthetic systems. His key contributions lie at the intersection of intention recognition and haptic feedback, where he has developed innovative methods to bridge the gap between human physiology and robotic devices. In his highly cited 2022 study, Dr. An pioneered a dual-system approach for robotic prosthetic hands: a convolutional neural network (CNN) that classifies electromyography (EMG) signals for precise intention recognition, paired with a novel rule-based wearable haptic device that delivers proprioceptive feedback. This work, which has garnered 25 citations, demonstrates a significant step toward creating prosthetics that feel more natural and responsive. By enabling users to not only control a hand but also "feel" its position through sensory feedback, Dr. An’s research addresses a critical challenge in rehabilitation engineering. His achievements highlight a commitment to translating complex neural signals into practical, user-centered solutions, making him a notable figure in the advancement of bionic technology and assistive robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
25
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Study on Intention Recognition and Sensory Feedback: Control of Robotic Prosthetic Hand Through EMG Classification and Proprioceptive Feedback Using Rule-based Haptic Device
25 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Daegu Gyeongbuk Institute of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago