Intelligent Prosthetic Sockets
This project introduces a smart prosthetic system that helps amputees achieve better socket fit by tracking pressure in real time. A wireless sensing module measures force distribution inside the prosthetic socket and displays it through a mobile app, providing users and clinicians with instant feedback to improve comfort and reduce injury risks.
Project Description
Prosthetic devices have significantly improved mobility and quality of life for amputees. Significant engineering advancements have been made in artificial limb biomechanics, joint control systems, and lightweight materials. Amputees report that the primary problem they face with their artificial limbs is a poorly fitting socket. In this project, we propose a smart prosthesis system, in which we measure the real-time force distributions within a prosthetic socket and dynamically visualize the results in a mobile application. A major part of the overall proposed system, a wireless pressure sensing system and a force visualization method, is evaluated at the current stage. Finally, corresponding works for fully completing this smart prosthesis system are discussed as well.
System Overiew
Publication
Designing Deep Reinforcement Learning Systems for Musculoskeletal Modeling and Locomotion Analysis Using Wearable Sensor Feedback
Jianian Zheng, Huiyi Cao, Diliang Chen, Rahila Ansari, Kuo-Chung Chu, Ming-Chun Huang
IEEE Sensors Journal (SJ), Volume 20, Number 16, Pages 9274 – 9282, April 2020
ZnO Nanowall Networks for Sensor Devices: from Hydrothermal Synthesis to Device Demonstration
Zixuan Feng, Subrina Rafique, Yi Cai*, Lu Han, Ming-Chun Huang, Hongping Zhao
PI Leads
Prof. Ming-Chun Huang
Associate Professor, Duke Kunshan University
Prof. Rahila Ansari
Assistant Professor, Case Western Reserve University
Contributors
Prof. Diliang Chen
Assistant Professor, University of New Hampshire
Dr.Yi Cai
Graduated Ph.D. Student, Case Western Reserve University