Summary
My graduate work at UC Davis was rounded out with a project that focused on identifying the control actions employed by a human during simple bicycle maneuvers. I constructed an instrumented bicycle and collected a great deal of data during a series of experiments in which the rider attempted to balance a bicycle under the influence of lateral perturbations. This data was then used to identify both a plant and control model of the underlying system and validate our hypotheses about the rider's control structure.
Publications
Journal Papers
Control Theoretic
Ronald Hess, Jason K. Moore, and Mont Hubbard. "Modeling the Manually Controlled Bicycle". In: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 42(3), 2012, pp. 545-557. doi: 10.1109/TSMCA.2011.2164244.
Control Identification
A. L. Schwab et al. "Rider control identification in bicycling using lateral force perturbation tests". In: Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 227(4), December 2013, doi: 10.1177/1464419313492317.
- Received the 2013 SAGE Best Paper Award, Journal of Multi-body Dynamics
- Source code
- Research Gate hosted paper
Dissertation
Jason K. Moore. Human Control of a Bicycle". PhD thesis. Davis, CA: University of California, Davis, Aug. 2012.
Media
UC Media
This was a promotional piece done by the University of California media.
KQED
KQED did a piece on the project.
Talks
- MAE Exit Seminar, Davis, CA, USA, Human Control of a Bicycle, May 15, 2012
- UCD MAE Qualifying Exam, Davis, CA, Human Control of a Bicycle October 9, 2009
Exit Seminar
Software
All of the software used in the project is open sourced and can be found in online hosting repositories:
- BicycleDAQ https://github.com/moorepants/BicycleDAQ
- BicycleDataProcessor https://github.com/moorepants/BicycleDataProcessor
- BicycleID https://github.com/moorepants/BicycleID
- BicycleSystemID https://github.com/moorepants/BicycleSystemID
- CanoncialBicycleID https://github.com/moorepants/CanonicalBicycleID
- InstrumentedBicycle https://github.com/moorepants/InstrumentedBicycle
Data
Moore, Jason; Hubbard, Mont (2014): Davis Instrumented Bicycle Experiment Raw Data. figshare. http://dx.doi.org/10.6084/m9.figshare.1164632
Moore, Jason; Hubbard, Mont (2014): Davis Instrumented Bicycle Calibration Raw Data. figshare. http://dx.doi.org/10.6084/m9.figshare.1164630
Moore, Jason; Hubbard, Mont (2014): Davis Instrumented Bicycle Corrupt Trial Log. figshare. http://dx.doi.org/10.6084/m9.figshare.1187092
Moore, Jason; Hubbard, Mont (2014): Instrumented Bicycle Raw Data HDF5. figshare. http://dx.doi.org/10.6084/m9.figshare.1198518
Moore, Jason; Lange, P.D.L de (2013): Bicycle Rider Control Identification. figshare. http://dx.doi.org/10.6084/m9.figshare.659465
Grant Information
This material is partially based upon work supported by the National Science Foundation under Grant No. 0928339. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.