Wearable EEG-based Activity Recognition in PHM-related Service Environment via Deep Learning

Wearable EEG-based Activity Recognition in PHM-related Service Environment via Deep Learning

It is of paramount importance to track the cognitive activity or cognitve attenion of the service personnel in a Prognostics and Health Monitoring (PHM) service related training or operation environment. The electroencephalography (EEG) data is one of the good candidates for cognitive activity recog...

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Bibliographic Details
Main Authors: Soumalya Sarkar, Kishore Reddy, Alex Dorgan, Cali Fidopiastis, Michael Giering
Format: Article
Language:English
Published: The Prognostics and Health Management Society 2016-12-01
Series:International Journal of Prognostics and Health Management
Subjects:
deep learning
wearables
phm training
activity recognition
eeg
sensor elimination
multi-modal sensor fusion
Online Access:https://papers.phmsociety.org/index.php/ijphm/article/view/2459

Internet

https://papers.phmsociety.org/index.php/ijphm/article/view/2459

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