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Oleg Kalyta, Olexander Barmak, Pavlo Radiuk and Iurii Krak
Can be used in video surveillance systems for large groups of people.
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Huan-Yu Chen, Chuen-Horng Lin, Jyun-Wei Lai and Yung-Kuan Chan
This paper proposes a multi?convolutional neural network (CNN)-based system for the detection, tracking, and recognition of the emotions of dogs in surveillance videos. This system detects dogs in each frame of a video, tracks the dogs in the video, and ...
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Kaya ter Burg and Heysem Kaya
Classifying facial expressions is a vital part of developing systems capable of aptly interacting with users. In this field, the use of deep-learning models has become the standard. However, the inner workings of these models are unintelligible, which is...
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Janith Kodithuwakku, Dilki Dandeniya Arachchi and Jay Rajasekera
It is not an easy task for organizers to observe the engagement level of a video meeting audience. This research was conducted to build an intelligent system to enhance the experience of video conversations such as virtual meetings and online classrooms ...
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Peter A. Gloor, Andrea Fronzetti Colladon, Erkin Altuntas, Cengiz Cetinkaya, Maximilian F. Kaiser, Lukas Ripperger and Tim Schaefer
Can we really ?read the mind in the eyes?? Moreover, can AI assist us in this task? This paper answers these two questions by introducing a machine learning system that predicts personality characteristics of individuals on the basis of their face. It do...
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Huafei Xiao, Wenbo Li, Guanzhong Zeng, Yingzhang Wu, Jiyong Xue, Juncheng Zhang, Chengmou Li and Gang Guo
With the development of intelligent automotive human-machine systems, driver emotion detection and recognition has become an emerging research topic. Facial expression-based emotion recognition approaches have achieved outstanding results on laboratory-c...
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Aayushi Chaudhari, Chintan Bhatt, Achyut Krishna and Pier Luigi Mazzeo
In several fields nowadays, automated emotion recognition has been shown to be a highly powerful tool. Mapping different facial expressions to their respective emotional states is the main objective of facial emotion recognition (FER). In this study, fac...
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Awais Salman Qazi, Muhammad Shoaib Farooq, Furqan Rustam, Mónica Gracia Villar, Carmen Lili Rodríguez and Imran Ashraf
Facial emotion recognition (FER) is an important and developing topic of research in the field of pattern recognition. The effective application of facial emotion analysis is gaining popularity in surveillance footage, expression analysis, activity recog...
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Natale Maiorana, Michelangelo Dini, Barbara Poletti, Sofia Tagini, Maria Rita Reitano, Gabriella Pravettoni, Alberto Priori and Roberta Ferrucci
From the start of the COVID-19 pandemic, the use of surgical masks became widespread. However, they occlude an important part of the face and make it difficult to decode and interpret other people?s emotions. To clarify the effect of surgical masks on co...
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Gayathri Soman, M. V. Vivek, M. V. Judy, Elpiniki Papageorgiou and Vassilis C. Gerogiannis
Focusing on emotion recognition, this paper addresses the task of emotion classification and its performance with respect to accuracy, by investigating the capabilities of a distributed ensemble model using precision-based weighted blending. Research on ...
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