| Literature DB >> 31946544 |
Felix Putze, Christian Herff, Christoph Tremmel, Tanja Schultz, Dean J Krusienski.
Abstract
Virtual Reality (VR) has emerged as a novel paradigm for immersive applications in training, entertainment, rehabilitation, and other domains. In this paper, we investigate the automatic classification of mental workload from brain activity measured through functional near-infrared spectroscopy (fNIRS) in VR. We present results from a study which implements the established n-back task in an immersive visual scene, including physical interaction. Our results show that user workload can be detected from fNIRS signals in immersive VR tasks both person-dependently and -adaptively.Entities:
Mesh：
Year: 2019 PMID： 31946544 DOI： 10.1109/EMBC.2019.8856386
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X