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Assessing Cognitive Performance Using Physiological and Facial Features: Generalizing across Contexts

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, no. 3 (2020): 1-41

Cited: 0|Views43
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Abstract

Sensing and machine learning advances have enabled the unobtrusive measurement of physiological responses and facial expressions so as to estimate one's cognitive performance. This often boils down to mapping the states of the cognitive processes underpinning human cognition: physiological responses (e.g., heart rate) and facial expressio...More

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