Facial Expression Recognition from Multi-Perspective Visual Inputs and Soft Voting
Automatic identification of human facial expressions has many potential applications in today’s connected world, from mental health monitoring to feedback for onscreen content or shop windows and sign-language prosodic identification. In this work we use visual information as input, namely, a datase...
Main Authors: | Antonio A. Aguileta, Ramón F. Brena, Erik Molino-Minero-Re, Carlos E. Galván-Tejada |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/11/4206 |
Similar Items
-
Multi-Sensor Fusion for Activity Recognition—A Survey
by: Antonio A. Aguileta, et al.
Published: (2019-09-01) -
Visual Scene-Aware Hybrid and Multi-Modal Feature Aggregation for Facial Expression Recognition
by: Min Kyu Lee, et al.
Published: (2020-09-01) -
Choosing the Best Sensor Fusion Method: A Machine-Learning Approach
by: Ramon F. Brena, et al.
Published: (2020-04-01) -
Facial Expression Recognition with Fusion Features Extracted from Salient Facial Areas
by: Yanpeng Liu, et al.
Published: (2017-03-01) -
Enhanced facial expression using oxygenation absorption of facial skin /
by: Mohammed Hazim Ameen Alkawaz, 1989- , author, et al.
Published: (2015)