Detection of Real-World Driving-Induced Affective State Using Physiological Signals and Multi-View Multi-Task Machine Learning
© 2019 IEEE. Affective states have a critical role in driving performance and safety. They can degrade driver situation awareness and negatively impact cognitive processes, severely diminishing road safety. Therefore, detecting and assessing drivers' affective states is crucial in order to help...
Main Authors: | Lopez Martinez, Daniel (Author), El Haouij, Neska (Author), Picard, Rosalind W. (Author) |
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Other Authors: | Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor), Massachusetts Institute of Technology. Media Laboratory (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2021-12-13T18:36:06Z.
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Subjects: | |
Online Access: | Get fulltext |
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