scholarly journals RETRACTED CHAPTER: Real-Life Facial Expression Recognition Systems: A Review

2017 ◽  
pp. 311-311 ◽  
Author(s):  
Samta Jain Goyal ◽  
Arvind K. Upadhyay ◽  
R. S. Jadon ◽  
Rajeev Goyal
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Real Life ◽  
Expression Recognition ◽  
Recognition Systems

scholarly journals Hierarchical Recognition Scheme for Human Facial Expression Recognition Systems

Sensors ◽  
2013 ◽  
Vol 13 (12) ◽  
pp. 16682-16713 ◽  
Author(s):  
Muhammad Siddiqi ◽  
Sungyoung Lee ◽  
Young-Koo Lee ◽  
Adil Khan ◽  
Phan Truc
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Expression Recognition ◽  
Recognition Systems ◽  
Human Facial Expression

scholarly journals Highly Robust and Wearable Facial Expression Recognition via Deep-Learning-Assisted, Soft Epidermal Electronics

Research ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Meiqi Zhuang ◽  
Lang Yin ◽  
Youhua Wang ◽  
Yunzhao Bai ◽  
Jian Zhan ◽  
...  
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Facial Expression ◽  
Facial Expressions ◽  
Facial Expression Recognition ◽  
Real Life ◽  
Small Sample ◽  
Expression Recognition ◽  
Time Dynamic ◽  
Epidermal Electronics

The facial expressions are a mirror of the elusive emotion hidden in the mind, and thus, capturing expressions is a crucial way of merging the inward world and virtual world. However, typical facial expression recognition (FER) systems are restricted by environments where faces must be clearly seen for computer vision, or rigid devices that are not suitable for the time-dynamic, curvilinear faces. Here, we present a robust, highly wearable FER system that is based on deep-learning-assisted, soft epidermal electronics. The epidermal electronics that can fully conform on faces enable high-fidelity biosignal acquisition without hindering spontaneous facial expressions, releasing the constraint of movement, space, and light. The deep learning method can significantly enhance the recognition accuracy of facial expression types and intensities based on a small sample. The proposed wearable FER system is superior for wide applicability and high accuracy. The FER system is suitable for the individual and shows essential robustness to different light, occlusion, and various face poses. It is totally different from but complementary to the computer vision technology that is merely suitable for simultaneous FER of multiple individuals in a specific place. This wearable FER system is successfully applied to human-avatar emotion interaction and verbal communication disambiguation in a real-life environment, enabling promising human-computer interaction applications.

Evaluating real-life performance of the state-of-the-art in facial expression recognition using a novel YouTube-based datasets

2017 ◽  
Vol 77 (1) ◽  
pp. 917-937 ◽  
Author(s):  
Muhammad Hameed Siddiqi ◽  
Maqbool Ali ◽  
Mohamed Elsayed Abdelrahman Eldib ◽  
Asfandyar Khan ◽  
Oresti Banos ◽  
...  
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
State Of The Art ◽  
Real Life ◽  
The State ◽  
Expression Recognition

A Survey on Image Acquisition Protocols for Non-posed Facial Expression Recognition Systems

2019 ◽  
Vol 78 (16) ◽  
pp. 23329-23368
Author(s):  
Priya Saha ◽  
Debotosh Bhattacharjee ◽  
Barin Kumar De ◽  
Mita Nasipuri
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Image Acquisition ◽  
Expression Recognition ◽  
Recognition Systems
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