A Memory Game Proposal for Facial Expressions Recognition in Health Therapies

2020 ◽  
pp. 264-269
Author(s):  
Samuel Vitorio Lima ◽  
Victor Travassos Sarinho
Keyword(s):  
Facial Expressions ◽  
Facial Expressions Recognition ◽  
Memory Game

Deep Balanced Learning for Long-tailed Facial Expressions Recognition

2021 ◽  
Author(s):  
Hongxiang Gao ◽  
Shan An ◽  
Jianqing Li ◽  
Chengyu Liu
Keyword(s):  
Facial Expressions ◽  
Facial Expressions Recognition

scholarly journals Deep learning based facial expressions recognition system for assisting visually impaired persons

2020 ◽  
Vol 9 (3) ◽  
pp. 1208-1219
Author(s):  
Hendra Kusuma ◽  
Muhammad Attamimi ◽  
Hasby Fahrudin
Keyword(s):  
Deep Learning ◽  
Facial Expressions ◽  
Visually Impaired ◽  
Learning Algorithm ◽  
Recognition System ◽  
Verbal Information ◽  
Deep Learning Algorithm ◽  
Facial Recognition System ◽  
Visually Impaired Persons ◽  
Facial Expressions Recognition

In general, a good interaction including communication can be achieved when verbal and non-verbal information such as body movements, gestures, facial expressions, can be processed in two directions between the speaker and listener. Especially the facial expression is one of the indicators of the inner state of the speaker and/or the listener during the communication. Therefore, recognizing the facial expressions is necessary and becomes the important ability in communication. Such ability will be a challenge for the visually impaired persons. This fact motivated us to develop a facial recognition system. Our system is based on deep learning algorithm. We implemented the proposed system on a wearable device which enables the visually impaired persons to recognize facial expressions during the communication. We have conducted several experiments involving the visually impaired persons to validate our proposed system and the promising results were achieved.

scholarly journals Separable convolutional neural networks for facial expressions recognition

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Andry Chowanda
Keyword(s):  
Neural Networks ◽  
Social Interactions ◽  
Facial Expressions ◽  
Convolutional Neural Networks ◽  
The Other ◽  
Computational Power ◽  
Facial Cues ◽  
Emotional Recognition ◽  
Testing Accuracy ◽  
Facial Expressions Recognition

AbstractSocial interactions are important for us, humans, as social creatures. Emotions play an important part in social interactions. They usually express meanings along with the spoken utterances to the interlocutors. Automatic facial expressions recognition is one technique to automatically capture, recognise, and understand emotions from the interlocutor. Many techniques proposed to increase the accuracy of emotions recognition from facial cues. Architecture such as convolutional neural networks demonstrates promising results for emotions recognition. However, most of the current models of convolutional neural networks require an enormous computational power to train and process emotional recognition. This research aims to build compact networks with depthwise separable layers while also maintaining performance. Three datasets and three other similar architectures were used to be compared with the proposed architecture. The results show that the proposed architecture performed the best among the other architectures. It achieved up to 13% better accuracy and 6–71% smaller and more compact than the other architectures. The best testing accuracy achieved by the architecture was 99.4%.

Development of low cost screen-printed piezoresistive strain sensor for facial expressions recognition systems

2020 ◽  
Vol 234 ◽  
pp. 111440
Author(s):  
Noor Amalina Ramli ◽  
Anis Nurashikin Nordin ◽  
Norsinnira Zainul Azlan
Keyword(s):  
Facial Expressions ◽  
Low Cost ◽  
Strain Sensor ◽  
Recognition Systems ◽  
Facial Expressions Recognition ◽  
Screen Printed

A ROI-guided deep architecture for robust facial expressions recognition

2020 ◽  
Vol 522 ◽  
pp. 35-48 ◽  
Author(s):  
Xiao Sun ◽  
Pingping Xia ◽  
Luming Zhang ◽  
Ling Shao
Keyword(s):  
Facial Expressions ◽  
Deep Architecture ◽  
Facial Expressions Recognition
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