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Personalized machine learning for robot perception of affect and engagement in autism therapy
Personalized machine learning enables robot perception of children’s affective states and engagement during robot-assisted autism therapy. Robots have the potential to facilitate future therapies forExpand
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Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation
Predicting a person’s mood tomorrow, from data collected unobtrusively using wearable sensors and smartphones, could have a number of beneficial clinical applications; however, this prediction is anExpand
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DeepFaceLIFT: Interpretable Personalized Models for Automatic Estimation of Self-Reported Pain
Previous research on automatic pain estimation from facial expressions has focused primarily on "one-size-fits-all" metrics (such as PSPI). In this work, we focus on directly estimating eachExpand
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GIFGIF+: Collecting emotional animated GIFs with clustered multi-task learning
Animated GIFs are widely used on the Internet to express emotions, but their automatic analysis is largely unexplored. Existing GIF datasets with emotion labels are too small for trainingExpand
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A Mixture of Personalized Experts for Human Affect Estimation
We investigate the personalization of deep convolutional neural networks for facial expression analysis from still images. While prior work has focused on population-based (“one-size-fits-all”)Expand
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1 Machine Learning Methods for Social Signal Processing
In this chapter we focus on systematization, analysis, and discussion of recent trends in machine learning methods for Social signal processing (SSP)(Pentland 2007). Because social signaling is oftenExpand
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Multi-modal Neural Conditional Ordinal Random Fields for agreement level estimation
The ability to automatically detect the extent of agreement or disagreement a person expresses is an important indicator of inter-personal relations and emotion expression. Most of existing methodsExpand
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Machine learning for affective computing and its applications to automated measurement of human facial affect
  • Ognjen Rudovic
  • Materials Science, Computer Science
  • International Symposium on Micro-NanoMechatronics…
  • 1 November 2016
Automated analysis of human affective behaviour has received a significant research attention over the last decade due to its practical importance in areas such as health, human-computer interaction,Expand
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Unsupervised domain adaptation with copula models
We study the task of unsupervised domain adaptation, where no labeled data from the target domain is provided during training time. To deal with the potential discrepancy between the source andExpand
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Sentiment Apprehension in Human-Robot Interaction
The ability of robots to interact in a socially intelligent manner with humans is the core of human-robot interaction (HRI). The quality of this interaction is typically measured in terms of how itExpand