Semester / Bachelor / Master thesis: “The biomechanics of human body during balance on a wobble board and gait perturbed” (70% experimental, 30% theoretical)
Vor 3 Tagen
Semester / Bachelor / Master thesis: “The biomechanics of human body during balance on a wobble board and gait perturbed” (70% experimental, 30% theoretical) 06.12., Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten Maintaining joint stability and balance is key for human movement, yet current datasets rarely combine EMG, GRF, and MoCap, limiting biomechanical modeling. This thesis will collect a high-quality multimodal dataset capturing muscle co-contraction during wobble-board balancing and controlled gait perturbations, providing a strong basis for future work, including machine learning models of neuromuscular responses. 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.
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