EREC-II in Use - Studies on Usability and Suitability of a Sensor System for Affect Detection and Human Performance Monitoring

Interest in emotion detection is increasing significantly. For research and development in the field of Affective Computing, in smart environments, but also for reliable non-lab medical and psychological studies or human performance monitoring, robust technologies are needed for detecting evidence of emotions in persons under everyday conditions. This paper reports on evaluation studies of the EREC-II sensor system for acquisition of emotion-related physiological parameters. The system has been developed with a focus on easy handling, robustness, and reliability. Two sets of studies have been performed covering 4 different application fields: medical, human performance in sports, driver assistance, and multimodal affect sensing. Results show that the different application fields pose different requirements mainly on the user interface, while the hardware for sensing and processing the data proved to be in an acceptable state for use in different research domains.

[1]  E. Meer,et al.  Emotion Studies in HCI – a New Approach , 2005 .

[2]  P. Ekman,et al.  Autonomic nervous system activity distinguishes among emotions. , 1983, Science.

[3]  C. K. Lee,et al.  Wearable EDA Sensor Gloves using Conducting Fabric and Embedded System , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Aggelos K. Katsaggelos,et al.  Automatic facial expression recognition using facial animation parameters and multistream HMMs , 2006, IEEE Transactions on Information Forensics and Security.

[5]  Paolo Bonato,et al.  Faces of emotion in human-computer interaction , 2005, CHI Extended Abstracts.

[6]  A. Ax The Physiological Differentiation between Fear and Anger in Humans , 1953, Psychosomatic medicine.

[7]  Lisa Feldman Barrett,et al.  The Structure of Emotion , 2006 .

[8]  George N. Votsis,et al.  Emotion recognition in human-computer interaction , 2001, IEEE Signal Process. Mag..

[9]  Timothy F. Cootes,et al.  Active Appearance Models , 1998, ECCV.

[10]  Mohammad Ghavami,et al.  A Novel Blind Watermarking of ECG Signals on Medical Images Using EZW Algorithm , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  Christian Peter,et al.  A Wearable Multi-sensor System for Mobile Acquisition of Emotion-Related Physiological Data , 2005, ACII.

[12]  Rosalind W. Picard The Galvactivator: A glove that senses and communicates skin conductivity , 2001 .

[13]  Beat Fasel,et al.  Automatic facial expression analysis: a survey , 2003, Pattern Recognit..

[14]  Veikko Surakka,et al.  Emotions and heart rate while sitting on a chair , 2005, CHI.

[15]  Gordon McIntyre,et al.  Researching emotions in speech , 2006 .