Sensing and Machine Recognition of Interactive Affective Touch
![](https://www.cs.ubc.ca/labs/spin/sites/default/files/styles/medium/public/thumbnail_1_2_0.jpg?itok=VAC2UIfk)
Start Year:
2012
We're driven by the goal of creating computational systems that continuously respond to emotional expression. There's something special about people's bodies; how people interact via the sense of touch, how their skin changes, heart behaves, etc. We build machine learning models on biometric and touch sensors during interactive real-world contexts. Current projects are (1) using EEG systems to detect continuous affect changes during video game play; (2) detecting emotional state during talk therapy; (3) using a touch robot as an intervention for stress-related behaviours.
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