Modeling humans via physiological and behavioral signals

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Abstract

Physiological and behavioral signals such as galvanic skin response or simple finger gestures on a mobile phone can help model humans. A generic framework linking stimuli to models using machine learning promises objective and reliable measurements. Two practical case studies illustrate the framework’s potential for detecting psychological traits and early diagnosis of Parkinson’s disease.

Original languageEnglish
Pages30-34
Number of pages5
Volume27
No.3
Specialist publicationInteractions
DOIs
Publication statusPublished - 17 Apr 2020

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