sensors Article Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia Aasim Raheel 1, Muhammad Majid 1,* , Majdi Alnowami 2 and Syed Muhammad Anwar 3 1 Department of Computer Engineering, University of Engineering and Technology, Taxila 47050, Pakistan;
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[email protected] 3 Department of Software Engineering, University of Engineering and Technology, Taxila 47050, Pakistan;
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[email protected] Received: 29 April 2020; Accepted: 14 May 2020; Published: 21 July 2020 Abstract: Emotion recognition has increased the potential of affective computing by getting an instant feedback from users and thereby, have a better understanding of their behavior. Physiological sensors have been used to recognize human emotions in response to audio and video content that engages single (auditory) and multiple (two: auditory and vision) human senses, respectively. In this study, human emotions were recognized using physiological signals observed in response to tactile enhanced multimedia content that engages three (tactile, vision, and auditory) human senses. The aim was to give users an enhanced real-world sensation while engaging with multimedia content. To this end, four videos were selected and synchronized with an electric fan and a heater, based on timestamps within the scenes, to generate tactile enhanced content with cold and hot air effect respectively. Physiological signals, i.e., electroencephalography (EEG), photoplethysmography (PPG), and galvanic skin response (GSR) were recorded using commercially available sensors, while experiencing these tactile enhanced videos. The precision of the acquired physiological signals (including EEG, PPG, and GSR) is enhanced using pre-processing with a Savitzky-Golay smoothing filter.