Amel Dechemi, Vikarn Bhakri, Ipsita Sahin, Arjun Modi, Julya Mestas, Pamodya Peiris, Dannya Enriquez Barrundia, Elena Kokkoni, Konstantinos Karydis. BabyNet: A Lightweight Network for Infant Reaching Action Recognition in Unconstrained Environments to Support Future Pediatric Rehabilitation Applications. In 30th IEEE International Conference on Robot & Human Interactive Communication, RO-MAN 2021, Vancouver, BC, Canada, August 8-12, 2021. pages 461-467, IEEE, 2021. [doi]
@inproceedings{DechemiBSMMPBKK21,
title = {BabyNet: A Lightweight Network for Infant Reaching Action Recognition in Unconstrained Environments to Support Future Pediatric Rehabilitation Applications},
author = {Amel Dechemi and Vikarn Bhakri and Ipsita Sahin and Arjun Modi and Julya Mestas and Pamodya Peiris and Dannya Enriquez Barrundia and Elena Kokkoni and Konstantinos Karydis},
year = {2021},
doi = {10.1109/RO-MAN50785.2021.9515507},
url = {https://doi.org/10.1109/RO-MAN50785.2021.9515507},
researchr = {https://researchr.org/publication/DechemiBSMMPBKK21},
cites = {0},
citedby = {0},
pages = {461-467},
booktitle = {30th IEEE International Conference on Robot & Human Interactive Communication, RO-MAN 2021, Vancouver, BC, Canada, August 8-12, 2021},
publisher = {IEEE},
isbn = {978-1-6654-0492-1},
}