CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism
© 2018 IEEE. Many children on autism spectrum have atypical behavioral expressions of engagement compared to their neu-rotypical peers. In this paper, we investigate the performance of deep learning models in the task of automated engagement estimation from face images of children with autism. Speci...
Main Authors: | Rudovic, Ognjen, Utsumi, Yuria, Lee, Jaeryoung, Hernandez, Javier, Ferrer, Eduardo Castello, Schuller, Bjorn, Picard, Rosalind W. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Media Laboratory |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
|
Online Access: | https://hdl.handle.net/1721.1/137990 |
Similar Items
-
Measuring Engagement in Robot-Assisted Autism Therapy: A Cross-Cultural Study
by: Lee, Jaeryoung, et al.
Published: (2018) -
Personalized Estimation of Engagement From Videos Using Active Learning With Deep Reinforcement Learning
by: Rudovic, Ognjen, et al.
Published: (2021) -
Personalized Automatic Estimation of Self-Reported Pain Intensity from Facial Expressions
by: Martinez, Daniel Lopez, et al.
Published: (2021) -
A Mixture of Personalized Experts for Human Affect Estimation
by: Feffer, Michael, et al.
Published: (2021) -
RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction
by: Castelló Ferrer, Eduardo, et al.
Published: (2018)