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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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Nor Azlina Ab. Aziz, Tawsif K., Sharifah Noor Masidayu Sayed Ismail, Muhammad Anas Hasnul, Kamarulzaman Ab. Aziz, Siti Zainab Ibrahim, Azlan Abd. Aziz and J. Emerson Raja
Affective computing focuses on instilling emotion awareness in machines. This area has attracted many researchers globally. However, the lack of an affective database based on physiological signals from the Asian continent has been reported. This is an i...
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Omar Adel, Karma M. Fathalla and Ahmed Abo ElFarag
Emotion recognition is crucial in artificial intelligence, particularly in the domain of human?computer interaction. The ability to accurately discern and interpret emotions plays a critical role in helping machines to effectively decipher users? underly...
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Ismail Shahin, Ali Bou Nassif, Rameena Thomas and Shibani Hamsa
Modern developments in machine learning methodology have produced effective approaches to speech emotion recognition. The field of data mining is widely employed in numerous situations where it is possible to predict future outcomes by using the input se...
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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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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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Kim Ferres, Timo Schloesser and Peter A. Gloor
This paper describes an emotion recognition system for dogs automatically identifying the emotions anger, fear, happiness, and relaxation. It is based on a previously trained machine learning model, which uses automatic pose estimation to differentiate e...
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Nazmi Sofian Suhaimi, James Mountstephens and Jason Teo
Emotions are viewed as an important aspect of human interactions and conversations, and allow effective and logical decision making. Emotion recognition uses low-cost wearable electroencephalography (EEG) headsets to collect brainwave signals and interpr...
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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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