The ability to accurately track the 3D movement of the human arm is essential for a range of applications, including rehabilitation, sports analysis, and wearable technology development. Current methods often rely on complex motion capture systems that are bulky and difficult to use outside controlled environments. This project aims to develop an easy-to-use, portable, and wearable solution using multiple Inertial Measurement Units (IMUs) attached to the upper arm and forearm to calculate the relative movement of the arm.
The goal of the project is to develop an algorithm capable of processing IMU data to calculate 3D relative arm movements. This work will include both the development of the algorithm and validation through experimental testing.