10th February 2021 12:12 pm
New research from Queen Mary University of London explores how an AI approach based on wireless signals could lead to new methods of emotion detection.
PLOS ONE, the study demonstrates the use of radio waves to measure heart rate and breathing signals to predict how someone is feeling in the absence of other visual cues such as facial expressions.
PhD student at QMUL, Achintha Avin Ihalage, said their proposed deep learning approach is a novel neural architecture that can process time-dependent wireless signal and frequency-domain wavelet transformation images simultaneously while preserving temporal and spatial relationships.
While the ‘basic building blocks’ used to implement the neural network are well known and widely adopted, added first author and PhD student Ahsan Noor Khan, the method of evoking emotions and its combination with wireless signals for unobtrusive sensing of breathing and heart rate is potentially new and could open d
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A novel artificial intelligence (AI) approach based on wireless signals could help to reveal our inner emotions, according to new research from Queen Mary University of London.
The study, published in the journal
PLOS ONE, demonstrates the use of radio waves to measure heartrate and breathing signals and predict how someone is feeling even in the absence of any other visual cues, such as facial expressions.
Participants were initially asked to watch a video selected by researchers for its ability to evoke one of four basic emotion types; anger, sadness, joy and pleasure. Whilst the individual was watching the video the researchers then emitted harmless radio signals, like those transmitted from any wireless system including radar or WiFi, towards the individual and measured the signals that bounced back off them. By analysing changes to these signals caused by slight body movements, the researchers were able to reveal hidden information about an individual s heart an