TY  - JOUR
AU  - Fatemeh Noroozi
AU  - Ciprian Corneanu
AU  - Dorota Kamińska
AU  - Tomasz Sapiński
AU  - Sergio Escalera
AU  - Gholamreza Anbarjafari
PY  - 2021//
TI  - Survey on Emotional Body Gesture Recognition
T2  - TAC
JO  - IEEE Transactions on Affective Computing
SP  - 505
EP  - 523
VL  - 12
IS  - 2
N2  - 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.
UR  - https://ieeexplore.ieee.org/document/8493586
L1  - http://refbase.cvc.uab.es/files/NCK2021.pdf
N1  - HUPBA; no proj
ID  - Fatemeh Noroozi2021
ER  -