Project Database
This page contains the database of possible research projects for master and bachelor students in the Biorobotics Laboratory (BioRob). Visiting students are also welcome to join BioRob, but it should be noted that no funding is offered for those projects (see https://biorob.epfl.ch/students/ for instructions). To enroll for a project, please directly contact one of the assistants (directly in his/her office, by phone or by mail). Spontaneous propositions for projects are also welcome, if they are related to the research topics of BioRob, see the BioRob Research pages and the results of previous student projects.
Search filter: only projects matching the keyword Statistical analysis are shown here. Remove filter
Amphibious robotics
Computational Neuroscience
Dynamical systems
Human-exoskeleton dynamics and control
Humanoid robotics
Miscellaneous
Mobile robotics
Modular robotics
Neuro-muscular modelling
Quadruped robotics
Miscellaneous
| 765 – Validity and Reliability of IMU-Based Jump Test Analysis |
| Category: | master project (full-time) | |
| Keywords: | Data Processing, Motion Capture, Programming, Python, Statistical analysis | |
| Type: | 10% theory, 90% software | |
| Responsible: | (MED 0 1016, phone: 32468) | |
| Description: | Optizone has created a cutting-edge suite of algorithms that estimate athletes’ fitness levels through widely recognized performance tests such as the drop jump, squat jump, repetitive jump, hop test, and velocity-based training. These algorithms have the potential to transform athletic monitoring by providing fast, data-driven insights into performance and readiness. This project focuses on putting these algorithms to the test. Their accuracy and consistency will be rigorously evaluated against a gold-standard motion analysis system in a controlled laboratory setting. Using a structured protocol, athlete performance data will be collected, preprocessed, and subjected to in-depth statistical analysis to determine both the reliability (how consistent the results are) and validity (how well the algorithms reflect true performance). By bridging advanced algorithm development with scientific validation, this study aims to strengthen confidence in Optizone’s technology and lay the foundation for smarter, evidence-based training and injury-prevention strategies. Jump Tests:
Last edited: 29/08/2025 | |
One project found.