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Author Fatemeh Noroozi; Ciprian Adrian Corneanu; Dorota Kamińska; Tomasz Sapiński; Sergio Escalera; Gholamreza Anbarjafari edit   pdf
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  Title Survey on Emotional Body Gesture Recognition Type Journal Article
  Year 2021 Publication IEEE Transactions on Affective Computing Abbreviated Journal (up) TAC  
  Volume 12 Issue 2 Pages 505 - 523  
  Keywords  
  Abstract Automatic emotion recognition has become a trending research topic in the past decade. While works based on facial expressions or speech abound, recognizing affect from body gestures remains a less explored topic. We present a new comprehensive survey hoping to boost research in the field. We first introduce emotional body gestures as a component of what is commonly known as “body language” and comment general aspects as gender differences and culture dependence. We then define a complete framework for automatic emotional body gesture recognition. We introduce person detection and comment static and dynamic body pose estimation methods both in RGB and 3D. We then comment the recent literature related to representation learning and emotion recognition from images of emotionally expressive gestures. We also discuss multi-modal approaches that combine speech or face with body gestures for improved emotion recognition. While pre-processing methodologies (e.g. human detection and pose estimation) are nowadays mature technologies fully developed for robust large scale analysis, we show that for emotion recognition the quantity of labelled data is scarce, there is no agreement on clearly defined output spaces and the representations are shallow and largely based on naive geometrical representations.  
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  Notes HUPBA; no proj Approved no  
  Call Number Admin @ si @ NCK2021 Serial 3657  
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