On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning-Reference-Cited by-同舟云学术

On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning

Published:2020-01 Issue: Volume:53 Page:66-79
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Halim Zahid,Rehan Mahma

Funder

GIK

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference75 articles.

1. Emotion communication system;Chen;IEEE Access,2017

2. Emotion recognition in borderline personality disorder—a review of the literature;Domes;J. Pers. Disord.,2009

3. The use of video modeling via a video iPod and a system of least prompts to improve transitional behaviors for students with autism spectrum disorders in the general education classroom;Cihak;J. Posit. Behav. Interv.,2010

4. Measuring hemophilia caregiver burden: validation of the Hemophilia Caregiver Impact measure;Schwartz;Qual. Life Res.,2017

5. A Neuro-fuzzy Fatigue-tracking and Classification System for Wheelchair Users;Li;IEEE Access,2017

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