VEmotion: Using Driving Context for Indirect Emotion Prediction in Real-Time-Reference-Cited by-同舟云学术

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

Published:2021-10-10 Issue: Volume: Page:
ISSN:
Container-title:The 34th Annual ACM Symposium on User Interface Software and Technology
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Author:

Bethge David¹,Kosch Thomas²,Grosse-Puppendahl Tobias¹,Chuang Lewis L.³,Kari Mohamed⁴,Jagaciak Alexander¹,Schmidt Albrecht⁵

Affiliation:

1. Porsche AG, Germany

2. TU Darmstadt, Germany

3. Leibniz-Institut für Arbeitsforschung, Germany

4. Dr. Ing. h. c. F. Porsche AG, Germany

5. LMU Munich, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3472749.3474775

Reference63 articles.

1. Emotions Recognition Using EEG Signals: A Survey

2. Facial Emotion Recognition: A Comparison of Different Landmark-Based Classifiers

3. The Human in Emotion Recognition on Social Media: Attitudes, Outcomes, Risks

4. Michael Braun Florian Weber and Florian Alt. [n.d.]. Affective Automotive User Interfaces - Reviewing the State of Emotion Regulation in the Car. In To appear in ACM Copmuting Surveys. Michael Braun Florian Weber and Florian Alt. [n.d.]. Affective Automotive User Interfaces - Reviewing the State of Emotion Regulation in the Car. In To appear in ACM Copmuting Surveys.

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