Project notes

Wearable motion capture

A modular sensing system for reconstructing human movement.

Discipline
Robotics
Context
Master Thesis
Support
MRL-Taiwan Company

The work

I developed a wearable motion capture system using inertial measurement units. Each module combined accelerometer, gyroscope, and magnetometer data to estimate orientation, with a quaternion-based approach for reconstructing body movement.

Project contributions & outcomes

  • Designed a modular sensing architecture and skeletal reconstruction workflow.
  • Evaluated complementary, gradient-descent, and Mahony filtering approaches.
  • Investigated parallel communication between modules and RS485 communication with the host to address latency.

Tools & focus

IMUSensor fusionQuaternionsEmbedded systems

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