Foot Placement Prediction for Assistive Walking by Fusing Sequential 3D Gaze and Environmental Context

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This is the implementation of Foot Placement Prediction for Assistive Walking by Fusing Sequential 3D Gaze and Environmental Context in Python.

Test

1. Download the data from the dataset link: data.zip
2. Uncompress the data.zip to FPP/data folder.
3. Run code:

python main.py

Contact

For more related works and codes, please view my homepage: https://sites.google.com/view/kuangenzhang

Further information please contact Kuangen Zhang (kuangen.zhang@alumni.ubc.ca).

Citation

If you find our work useful in your research, please consider citing:

@article{zhang_foot_2021,
	title = {Foot placement prediction for assistive walking by fusing sequential {3D} gaze and environmental context},
	issn = {2377-3766},
	doi = {10.1109/LRA.2021.3062003},
	journal = {IEEE Robotics and Automation Letters},
	author = {Zhang, K. and Liu, H. and Fan, Z. and Chen, X. and Leng, Y. and Silva, C. De and Fu, C.},
	year = {2021},
	note = {Conference Name: IEEE Robotics and Automation Letters},
	pages = {1--1},
}