ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors
Top Cited Papers
- 1 April 2018
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Affective Computing
- Vol. 9 (2), 147-160
- https://doi.org/10.1109/TAFFC.2016.2625250
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 physiological correlates of emotion and personality. Our analysis suggests that the emotion-personality relationship is better captured by non-linear rather than linear statistics. We finally attempt binary emotion and personality trait recognition using physiological features. Experimental results cumulatively confirm that personality differences are better revealed while comparing user responses to emotionally homogeneous videos, and above-chance recognition is achieved for both affective and personality dimensions.Keywords
Funding Information
- Human-Centered Cyber-physical Systems
- MIUR Cluster Active Ageing at Home
- Sensaura Inc.
This publication has 50 references indexed in Scilit:
- Fusion of facial expressions and EEG for implicit affective taggingImage and Vision Computing, 2013
- Clarifying the relation between neuroticism and positive emotionsPersonality and Individual Differences, 2009
- Effects of Personality Types on the Use of Television GenreJournal of Broadcasting & Electronic Media, 2007
- Why Extraverts Are Happier Than Introverts: The Role of Mood RegulationJournal of Personality, 2006
- Personality, media preferences, and cultural participationPersonality and Individual Differences, 2005
- Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological SignalsEURASIP Journal on Advances in Signal Processing, 2004
- Relationships among extraversion, openness to experience, and sensation seekingPersonality and Individual Differences, 2003
- An overlap invariant entropy measure of 3D medical image alignmentPattern Recognition, 1999
- Emotion elicitation using filmsCognition and Emotion, 1995
- Simple visual reaction time, personality and strength of the nervous system: A signal-detection theory approachPersonality and Individual Differences, 1985