Robust real-time emotion detection system using CNN architecture-Reference-Cited by-同舟云学术

Robust real-time emotion detection system using CNN architecture

Published:2019-10-24 Issue:15 Volume:32 Page:11253-11262
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Jaiswal Shruti^ORCID,Nandi G. C.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-019-04564-4.pdf

Reference34 articles.

1. Goodfellow IJ, et al. (2013) Challenges in representation learning: a report on three machine learning contests. arXiv e-prints

2. Wu X, Bartram L (2018) Social robots for people with developmental disabilities: a user study on design features of a graphical user interface. arXiv e-prints

3. Jaiswal S, Mishra P, Nandi GC (2018) Deep learning based command pointing direction estimation using a single RGB Camera. In: 2018 5th IEEE Uttar Pradesh section international conference on electrical. Electronics and Computer Engineering (UPCON)

4. Szegedy C, et al. (2014) Going deeper with convolutions. arXiv e-prints

5. Semwal VB et al (2017) Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach. Neural Comput Appl 28(3):565–574

Cited by 51 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. Mist–fog-assisted real-time emotion recognition using deep transfer learning framework for smart city 4.0;Internet of Things;2024-10

2. How Do Students Feel in Online Learning Platforms? How They Tell It: How Does Artificial Intelligence Make a Difference?;Sakarya University Journal of Education;2024-07-25

3. A review on emotion detection by using deep learning techniques;Artificial Intelligence Review;2024-07-11

4. Toward the design of persuasive systems for a healthy workplace: a real-time posture detection;Frontiers in Big Data;2024-06-17

5. DeepEmoNet: An Efficient Deep Emotional Neural Network for Facial Expression Recognition;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05