Research objectives

The main goal of this thesis is to use the ethically approved experimental protocol, collect a multi-modal dataset and perform a primary analysis on it. The dataset integrates:

• EMG: measuring muscle activation.
• MoCap: tracking whole-body kinematics.
• GRF: capturing the external forces acting on the body.

Methodology

• Literature review: study state-of-the-art methods in balancing on a balance board, gait perturbation and muscle co-contraction analysis.
• Participants recruitment: searching for male and female participants willing to perform the balance or the gait protocol.
• Data collection: preparing the participants for performing the protocol, ensuring safety and consistency.
• Data analysis: to be defined together with the student.

Expected outcomes

• A well-structured multimodal dataset of balancing on a wobble board and walking under perturbations.
• Analysis targets: to be defined together with the student.

Requirements

• Strong interest in experimental research.
• Background in mechanics, biomechanics, sports science, biomedical engineering, or a related field.
• Experience with EMG, motion capture, or force plate data collection is a plus.
• Basic knowledge of signal processing, Python, OpenSim or machine learning is a plus.

We offer

• Access to the Rehabilitation Robotics Lab of MIRMI, TUM.
• Supervision and support from leading researchers in gait analysis.
• Hands-on experience with cutting-edge motion analysis technologies.
• Potential to contribute to high-impact scientific publications.

Application

Interested candidates should submit:

• A CV (max. 2 pages).
• Transcript of records.