Chien Jung Yen
Papers
1
Total Citations
27
H-Index
1
About
Chien Jung Yen is a leading researcher in human-robot interaction and wearable sensing technologies, with a particular focus on intuitive, muscle-based control systems. His most cited work, "Intuitive muscle-gesture based robot navigation control using wearable gesture armband" (2015, 27 citations), introduces a groundbreaking muscle-gesture computer interface (MGCI) that leverages the commercial MYO armband to enable natural, hands-free navigation of omnidirectional robots. This contribution bridges the gap between human biomechanics and robotic control, offering a non-invasive, wearable solution that enhances accessibility and ease of use in real-world applications. Yen’s research has significant implications for assistive robotics, rehabilitation, and human-machine collaboration, demonstrating how muscle signals can be decoded for precise, intuitive commands. His work stands out for its practical integration of off-the-shelf hardware with novel control algorithms, paving the way for more seamless human-robot interaction. With a growing citation impact, Yen continues to influence the fields of wearable computing and gesture-based control, inspiring future innovations in intuitive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1