Wheeled Robot for Human Performance Analysis on a Running Track
This research project investigates runners' performance through innovative technology, aiming to foster a human-robot partnership. Our study involves the development of a wheeled, remote-controlled running track robot that will integrate these elements. The robot's capabilities were first modeled using simulations, with an emphasis on efficiency and high torque capabilities. The runner will wear a heart rate sensor during training on a 400m track, which will output biometric data to the running track robot. The robot is designed to analyze this data logged by the heart rate sensor. Future research will aim to develop the robot as a biomarker-driven pacing tool that can leverage the head-to-head psyche that runners experience throughout competition. This will allow the running track robot to act as a pacing robot that can analyze the biometric data in real time and provide personalized pacing support.
Authors
- Diego Martínez Soto
- Stephen G. McGill (ORCID: https://orcid.org/0000-0003-4874-938X)
- Amos Colocho
- Riquel Owusu
- Sabrina Smurro
Institutions
- Villanova University (US)
Publication Details
- Journal
- Veritas Villanova Research Journal
- Published
- 2024-11-18
- DOI
- https://doi.org/10.61372/vvrj.v6i1.3030
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- McGill University