ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors

Subramanian, Ramanathan; Wache, Julia; Abadi, Mojtaba Khomami; Vieriu, Radu L.; Winkler, Stefan; Sebe, Nicu

doi:10.1109/taffc.2016.2625250

articleIEEE Transactions on Affective ComputingNov 4, 2016Closed access

ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors

RSRamanathan Subramanian JWJulia Wache MKMojtaba Khomami Abadi RLRadu L. Vieriu SWStefan Winkler

International Institute of Information Technology, Hyderabad · University of Trento · +2 more institutions

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Abstract

We present ASCERTAIN-a multimodal databaASe for impliCit pERsonaliTy and Affect recognitIoN using commercial physiological sensors. To our knowledge, ASCERTAIN is the first database to connect personality traits and emotional states via physiological responses. ASCERTAIN contains big-five personality scales and emotional self-ratings of 58 users along with their Electroencephalogram (EEG), Electrocardiogram (ECG), Galvanic Skin Response (GSR) and facial activity data, recorded using off-the-shelf sensors while viewing affective movie clips. We first examine relationships between users' affective ratings and personality scales in the context of prior observations, and then study linear and non-linear…

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Topics

Keywords

Personality
Psychology
Big Five personality traits
Affective computing
Context (archaeology)
Trait
Emotion recognition
Cognitive psychology

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