Multimodal Estimation of Frustrative Driving Situations Using a Latent Variable Model-Reference-Cited by-同舟云学术

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Multimodal Estimation of Frustrative Driving Situations Using a Latent Variable Model

Published:2022-09-21 Issue: Volume: Page:
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Container-title:2022 13th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)
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Author:

Bosch Esther¹,Klosterkamp Marie²,Guevara Angelo³,Kaethner David¹,Bendixen Alexandra⁴,Ihme Klas¹

Affiliation:

1. Institute of Transportation Systems,German Aerospace Centre,Braunschweig,Germany

2. Institute of Transportation, University of Kassel,Kassel,Germany

3. Universidad de Chile and Instituto Sistemas Complejos de Ingenier'ia,Department of Civil Engineering,Santiago,Chile

4. Institute of Physics, Chemnitz University of Technology,Chemnitz,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10081593/10081612/10081636.pdf?arnumber=10081636

Reference35 articles.

1. Frustration in the face of the driver

2. VEmotion: Using Driving Context for Indirect Emotion Prediction in Real-Time

3. Automatically Recognizing Facial Indicators of Frustration: A Learning-centric Analysis

4. Relative left frontal activity in reappraisal and suppression of negative emotion: Evidence from frontal alpha asymmetry (FAA)

5. Recognizing Frustration of Drivers From Face Video Recordings and Brain Activation Measurements With Functional Near-Infrared Spectroscopy

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