Papers
2
Total Citations
9
H-Index
2
About
Zhongqiang Ding's research focuses on the intersection of embedded control systems and human-robot interaction, with a particular emphasis on posture mapping and sensor-based feedback. His most cited work, "Strategies in vibrotactile feedback for improved upper arm posture mapping and replication using inertia sensors" (2011, 6 citations), introduces innovative designs for arm posture correction systems that combine inertial sensors with vibrotactile feedback. This work has direct applications in rehabilitation and human-robot interaction, offering practical solutions for improving motor learning and assistive technologies. Earlier in his career, Ding contributed to the development of reconfigurable distributed embedded controllers through his 2003 paper, which proposed a generic platform for building component-based control applications. This foundational work demonstrates his long-standing interest in creating flexible, modular systems for real-time control. While his citation counts are modest, Ding's research represents important contributions to the practical implementation of sensor-based feedback systems and embedded control architectures, particularly in rehabilitation contexts.
Research Focus
Key Achievements
Top Papers
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