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Compare the immediate and mid-term biomechanical and quality-of-life related changes after using a wearable knee device applying vibratory stimulus during the stance phase among people early after an anterior cruciate (ACL) ligament reconstruction surgery.

Design an inexpensive wearable ankle vibrational stimulus device and develop a gait event detection algorithm. Test the device's reliability, validity, and how it affects muscle function and gait biomechanics during daily activities inside and outside the lab.

Collect and assess biomarkers for the early detection of post-traumatic osteoarthritis among people after an ACL reconstruction surgery. Develop a "stress test" and examine a stimulus-response mechanism of the specific biomarkers set.

Develop a musculoskeletal joint loading model based on kinematics and estimate lower extremity kinetics during sailing activities using an IMU system and computer vision. Feature engineering and factor investigation to improve the athletes' performance and reduce their injury risk.

Develop an algorithm to predict ground reaction forces among healthy people and patients after a total knee replacement. The prediction is based on an inexpensive IMU system based on machine learning models.

Design a wearable, real-time detection system assessing an ankle sprain risk; test and validate the system's capabilities in real-life situations.

Examine possible gender differences in load carriage methods based on body composition while focusing on gait biomechanics.

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