The goal of this project is to identify and build algorithms to perform hand and arm motion tracking in 3D space with using inertial measurement units (IMUs) consisting of accelerometers, gyroscopes and magnetometers. The algorithm(s) could be new, a modification of exisiting algorithms, or an integration of best existing algorithms.

• Collecting and processing data from IMUs: The candidate will need to work with IMUs and collect data from the accelerometers, gyroscopes, and magnetometers. They will need to understand how to process this data to extract useful information about hand, arm motion.
• Analyzing and modeling the data: The candidate will need to use signal processing and machine learning techniques to analyze the IMU data and model the hand and arm motion.
• Developing and testing algorithms: The candidate will need to develop and test algorithms to accurately track hand and arm motion in 3D space. This may involve implementing techniques such as sensor fusion, Kalman filtering, and machine learning.
• Building a prototype system: Depending on the scope of the project, the candidate may need to build a prototype system to demonstrate the capabilities of the hand and arm motion tracking algorithms.
• Collaborating with team members

The company will support the candidate by providing them with access to the necessary hardware and software tools to develop and test the algorithms. The company will also provide training and mentorship to help the candidate develop their skills in IMU data analysis, Python programming, and signal processing. Additionally, the candidate will have opportunities to collaborate with other members of the team and network with professionals in the healthcare and technology industries.