Methodological Design for Integration of Human EEG Data with Behavioral Analyses into Human-Human/Robot Interactions in a Real-World Context

Autor: Maria Sanchez, Satoru Mishima, Masayuki Fujiwara, Guangyi Ai, Melanie Jouaiti, Yuliia Kobryn, Sébastien Rimbert, Laurent Bougrain, Patrick HENAFF, Hiroaki Wagatsuma

Publikováno v: ICICIC2019-The 14th International Conference on Innovative Computing, Information and Control
ICICIC2019-The 14th International Conference on Innovative Computing, Information and Control, Aug 2019, Seoul, South Korea. pp.8
HAL

International audience; Analysis of human activities is a complex task that needs multifactorial considerations. So an electroencephalographic (EEG) data analysis can be improved by a conjunction of devices that monitor time courses of multiple types

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::61fc6418e890f31844b098db171dab32
https://hal.inria.fr/hal-02437374