CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism

Author:

Rudovic Ognjen,Utsumi Yuria,Lee Jaeryoung,Hernandez Javier,Ferrer Eduardo Castello,Schuller Bjorn,Picard Rosalind W.

Publisher

IEEE

Cited by 57 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Derin Öğrenme Tabanlı Gerçek Zamanlı Vücut Hareketlerinden Duygu Analizi Modeli;Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji;2024-06-29

2. From the Definition to the Automatic Assessment of Engagement in Human–Robot Interaction: A Systematic Review;International Journal of Social Robotics;2024-06-04

3. Deep Learning-Based Feature Extraction from Children's Facial Images for Autism Spectrum Disorder Detection;Proceedings of the Cognitive Models and Artificial Intelligence Conference;2024-05-25

4. AI-Powered Human-Computer Interaction Assisting Early Identification of Emotional and Facial Symptoms of Autism Spectrum Disorder in Children: “A Deep Learning-Based Enhanced Facial Feature Recognition System”;2024 International Conference on Machine Intelligence and Smart Innovation (ICMISI);2024-05-12

5. Autism Spectrum Disorder Detection Via Eye Gaze Analysis;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

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