Support Vector Slant Binary Tree Architecture for Facial Stress Recognition Based on Gabor and HOG Feature-Reference-Cited by-同舟云学术

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Support Vector Slant Binary Tree Architecture for Facial Stress Recognition Based on Gabor and HOG Feature

Published:2018-05 Issue: Volume: Page:
ISSN:
Container-title:2018 International Workshop on Big Data and Information Security (IWBIS)
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Author:

Prasetio Barlian Henryranu,Tamura Hiroki,Tanno Koichi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8455507/8471689/08471709.pdf?arnumber=8471709

Cited by 8 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. Multimodal depression detection using deep learning in the workplace;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

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. Deep Learning Approach for Detecting Work-Related Stress Using Multimodal Signals;IEEE Sensors Journal;2022-06-15

4. Monitoring the Impact of Stress on Facial Skin Using Affective Computing;Predictive Analytics of Psychological Disorders in Healthcare;2022

5. Deep-Learning-Based Stress Recognition with Spatial-Temporal Facial Information;Sensors;2021-11-11

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