Motion Capture Projects for ME, MTech, Masters, MS abroad, and PhD students. These Motion Capture ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Motion Capture Projects
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A Comparison of Approaches for Segmenting the Reaching and Targeting Motion Primitives in Functional Upper Extremity Reaching Tasks
This project studies how people move their arms and hands during tasks like reaching and grabbing. The researchers tested different ways to break these movements into smaller steps so they can be analyzed. They also created a method to spot mistakes automatically in this analysis. This work can help doctors and therapists track arm movement more easily in clinics. -
Gaitmap An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking
This project creates a free and open software system called gaitmap to study how people walk using small motion sensors on their feet. It gives researchers ready-to-use tools, datasets, and examples to test and compare their methods. This helps speed up medical research on movement problems and makes gait analysis easier for everyone to use. -
Wearable Loop Sensors for Knee Flexion Monitoring Dynamic Measurements on Human Subjects
This project develops new wearable sensors that can measure how joints bend. The sensors were tested on people performing walking and bending movements, as well as on a model limb. The results show the sensors are accurate, safe, and do not restrict movement. This work moves closer to fully wearable devices for monitoring joint motion.
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