| Affiliations: | College of Engineering and Computer Science |
| Team Leader: |
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| Faculty Mentor: |
Hwan Choi, PhD
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Team Size:
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3 |
| Open Spots: | 2 |
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Team Member Qualifications:
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We are seeking motivated undergraduate team members who are interested in biomechanics, prosthetics, and machine learning. The following skills or experiences are preferred but not required: + Major in Biomedical Engineering, Mechanical Engineering, or related field +Experience with musculoskeletal modeling software, especially OpenSim +Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) +Basic understanding of biomechanics, gait analysis, or human movement science +Interest in applying AI to human motion and rehabilitation technologies. |
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Description:
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This project focuses on the development of a deep learning-based system for torque prediction in prosthetic limbs using motion data from the unaffected (sound) limb. The core objective is to enable intelligent, real-time prosthesis control by learning dynamic patterns from the contralateral limb during gait. We collected experimental data from 10 participants walking on a treadmill at three different speeds, capturing full-body kinematics using a Vicon motion capture system. To acquire dynamic and kinematic parameters, we processed the motion data through OpenSim, allowing for detailed musculoskeletal modelling and torque estimation. To make the system wearable and practical, we utilized Inertial Measurement Units (IMUs) placed on the sound limb to capture motion signals. These signals were then used to train a deep learning model capable of accurately predicting joint torques on the prosthetic side. The model learns to infer the dynamic behaviour of the missing limb by leveraging the biomechanical symmetry and coordination typically present in human gait. This approach paves the way for adaptive, personalized prosthetic control systems, potentially improving mobility and quality of life for lower-limb amputees by enabling more natural and responsive prosthesis movement. |