Kategorie: Allgemeines
Von: Judith Heinisch
ComTec auf der PerCom 2019 in Kyoto
Am 15. März 2019 stelle Judith Heinisch auf dem Workshop Emotion Aware der IEEE International Conference on Pervasive Computing and Communications in Kyoto (Japan) das Paper "Walking or Climbing Stairs? Towards Physiological Emotion Recognition in the Wild" vor.
Klaus David war zusammen mit Chelsea Dobbins (University of Queensland, Australia) und Tadashi Okoshi (Keio University, Japan) Organizer des Workshops „Emotion Aware“. Neben mehreren Vorträgen gab es einen Keynotevortrag von Prof. Midori Sugaya, "Emotion Aware Robot by Emotion Estimation Using Biological Sensors".
J. S. Heinisch, C. Anderson, and K. David, “Angry or Climbing Stairs? Towards Physiological Emotion Recognition in the Wild”, to be published at IEEE PerCom, Workshop Emotion Aware, Kyoto, Japan, March 2019, pp. 1-6.
Abstract:
Physiological responses to emotions play a vital role in the field of emotion recognition. Machine-learning models implemented in wristbands or wearables, already exploit unique patterns in physiological responses to provide information about humans emotional states. However, such responses are commonly interfered and overlapped by physical activities, posing a chal- lenge for emotion recognition “in-the-wild”. In this paper, we address this challenge by investigating new features based on the linear regression line and machine-learning models for emotion recognition. We triggered emotions through audio samples and recorded physiological responses from 18 participants before and while performing physical activities. We trained models with the least strenuous physical activity (sitting) and tested with the remaining, more strenuous ones. For three different emotion categories, we achieved classification accuracies up to 67%. Considering individual activities and participants, we achieve up to 73% classification accuracy, indicating the viability of emotion recognition models and features non-sensitive to interferences caused by physical activities.