MoRe-T2: Mobility Research Trajectory Tracker
In this project (funded by UCL Grand Challenge of Human Wellbeing) we developed a low-cost tool (MoRe-T2) that uses standard webcams or CCTV cameras to track the trajectories of people, wheelchairs and scooters in an accessibility and mobility research environment.
Custom printed QR-type codes (on ordinary paper) are attached to participants, mobility devices or any objects of interest that allows us to generate rich and precise datasets. MoRe-T2 is currently deployed in both PAMELA and the Aspire Create lab, where it continues to be used to evaluate wheelchair interfaces. We are releasing the open-source code, which is freely available from https://github.com/ceezeh/more_t2.git . Further documentation and utilities will be made available in due course.For further information and to refer to this work, please see / cite:
- Ezeh, C. E. M., holloway, C., & Carlson, T. (2016). MoRe-T2 (Mobility Research Trajectory Tracker): Validation and Application. Journal of Rehabilitation and Assistive Technologies Engineering.
- Ezeh, C., Holloway, H., & Carlson, T. (2015). MoRe-T2: An easy-to-use, low cost tracking system for mobility research. The 14th International Conference on Mobility and Transport for Elderly and Disabled Persons (TRANSED2015).
MoRe-T2 has also been used in the following publications
- Ezeh, C., Trautman, P., Devigne, L., Bureau, V., Babel, M., & Carlson, T. (2017). Probabilistic vs linear blending approaches to shared control for wheelchair driving. IEEE. doi:10.1109/ICORR.2017.8009352