Applicability of RF-based methods for emotion recognition: A survey. Raja, M. & Sigg, S. In 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pages 1-6, March, 2016.
doi  abstract   bibtex   
Human emotion recognition has attracted a lot of research in recent years. However, conventional methods for sensing human emotions are either expensive or privacy intrusive. In this paper, we explore a connection between emotion recognition and RF-based activity recognition that can lead to a novel ubiquitous emotion sensing technology. We discuss the latest literature from both domains, highlight the potential of body movements for accurate emotion detection and focus on how emotion recognition could be done using inexpensive, less privacy intrusive, device-free RF sensing methods. Applications include environment and crowd behaviour tracking in real time, assisted living, health monitoring, or also domestic appliance control. As a result of this survey, we propose RF-based device free recognition for emotion detection based on body movements. However, it requires overcoming challenges, such as accuracy, to outperform classical methods.
@INPROCEEDINGS{Raja_2016_CoSDEO,
author={Muneeba Raja and Stephan Sigg},
booktitle={2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)},
title={Applicability of RF-based methods for emotion recognition: A survey},
year={2016},
pages={1-6},
abstract={Human emotion recognition has attracted a lot of research in recent years. However, conventional methods for sensing human emotions are either expensive or privacy intrusive. In this paper, we explore a connection between emotion recognition and RF-based activity recognition that can lead to a novel ubiquitous emotion sensing technology. We discuss the latest literature from both domains, highlight the potential of body movements for accurate emotion detection and focus on how emotion recognition could be done using inexpensive, less privacy intrusive, device-free RF sensing methods. Applications include environment and crowd behaviour tracking in real time, assisted living, health monitoring, or also domestic appliance control. As a result of this survey, we propose RF-based device free recognition for emotion detection based on body movements. However, it requires overcoming challenges, such as accuracy, to outperform classical methods.},
keywords={Emotion recognition;Feature extraction;Mood;Sensors;Speech;Speech recognition;Tracking},
doi={10.1109/PERCOMW.2016.7457119},
month={March},
group = {ambience}}
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