Extraction of facial features as indicators of stress and anxiety

Author:

Pediaditis M.,Giannakakis G.,Chiarugi F.,Manousos D.,Pampouchidou A.,Christinaki E.,Iatraki G.,Kazantzaki E.,Simos P. G.,Marias K.,Tsiknakis M.

Publisher

IEEE

Cited by 18 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. Application of Computer Vision Techniques to Study the Relationship between Mental Stress and Pupil Diameter among Student Population;International Journal of Online and Biomedical Engineering (iJOE);2024-05-21

2. Novel Deep Learning Framework for Facial Stress Detection Combined with Recommendation System;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

3. Stress Level and Emotion Detection via Video Analysis, and Chatbot Interventions for Emotional Distress;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. Enhancing Depression Prediction Accuracy Using Filter and Wrapper-Based Visual Feature Extraction;Journal of Advances in Information Technology;2023

5. Quantitative Multidimensional Stress Assessment from Facial Videos using Deep Learning;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06

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