Temporal-Spatial Features of Intention Understanding Based on EEG-fNIRS Bimodal Measurement.
https://doi.org/10.1109/ACCESS.2017.2723428
@article{DBLP:journals/access/GeDZLGWSIDYL17,
author = {Sheng Ge and
Meng{-}Yuan Ding and
Zheng Zhang and
Pan Lin and
Jun{-}Feng Gao and
Ruimin Wang and
Gao{-}Peng Sun and
Keiji Iramina and
Hui{-}Hua Deng and
Yuankui Yang and
Yue Leng},
title = {Temporal-Spatial Features of Intention Understanding Based on EEG-fNIRS
Bimodal Measurement},
journal = {{IEEE} Access},
volume = {5},
pages = {14245--14258},
year = {2017},
url = {https://doi.org/10.1109/ACCESS.2017.2723428},
doi = {10.1109/ACCESS.2017.2723428},
timestamp = {Wed, 04 Jul 2018 13:22:18 +0200},
biburl = {https://dblp.org/rec/journals/access/GeDZLGWSIDYL17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}