A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features

Thermal Infrared Imaging-Based Affective Computing and Its Application to Facilitate Human Robot Interaction: A Review

“…Indeed, its portability (e.g., small size and low computational resource requirement) allows the camera not only to be easily attached to a mobile phone but also to be integrated in a social robot head. Recent studies have started to explore mobile thermal IR imaging for affect recognition tasks, especially focused on stress monitoring [78][79][80][81]. Cho et al proposed a system consisting of a smartphone camera-based PhotoPlethysmoGraphy (PPG) and a low-cost thermal camera added to the smartphone, which was designed to continuously monitor the subject's mental stress [78].…”

“…The breathing signal was also investigated through the use of a mobile thermal camera by Ruminski et al, who embedded such a camera in smart glasses [84]. Basu et al instead used a mobile thermal system for the challenging purpose of classifying personality (psychoticism, extraversion, and neuroticism) [81]. The proposed system classified the emotional state using an information fusion of thermal and visible images.…”

Guest Editorial: Apparent Personality Analysis

“…From this review, it is clear that the special issue achieved its goal of capturing a snapshot of cutting edge research and applications of apparent personality analysis with automatic methods. Techniques devoted to the prediction of personality traits were presented in most articles [6], [7], [8], [11], [15]. However, each paper focused in a very specific aspect, including, mixing both, learned and handcrafted features [6]; proposing explainability mechanisms [7]; learning from biological signals [15] and affective states [8].…”

“…Applications were well represented in contributions to this special issue, comprising applications for risk prevention [13], recommendation [11] and interactive data analytics [16]. Interestingly, the link between affective computing and personality analysis was elucidated in several papers [8], [9], [11], confirming previous research reported elsewhere [18], [19]. Also, it was encouraging that a couple of articles [7], [16] emphasized the importance of explainability of models as their conclusions; explainability being a hot topic across all artificial intelligence [4].…”

“…The link between affect and personality is explored in the article entitled "A Portable Personality Recognizer based on Affective State Classification using Spectral Fusion of Features" by A. Basu et al. The authors describe a method for personality recognition based on the emotional states as depicted by users [8]. Using a combination of information derived from thermal and visible images, a support vector machine (SVM) predicts the emotional state of a subject (a reduced Ekman's model is adopted).…”