Authors:
Egon L. van den Broek
1
;
Joris H. Janssen
2
;
Jennifer A. Healey
3
and
Marjolein D. van der Zwaag
2
Affiliations:
1
University of Twente, Netherlands
;
2
User Experience Group, Philips Research Europe, Netherlands
;
3
Future Technology Research, Intel Labs Santa Clara, United States
Keyword(s):
Affective signal processing, Emotion, User identification, Theoretical specification.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biometrics
;
Biometrics and Pattern Recognition
;
Computational Intelligence
;
Cybernetics and User Interface Technologies
;
Data Manipulation
;
Devices
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Information and Systems Security
;
Methodologies and Methods
;
Multimedia
;
Multimedia Signal Processing
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
;
Telecommunications
Abstract:
Last year, in van den Broek et al. (2009a), a start was made with defining prerequisites for affective signal processing (ASP). Four prerequisites were identified: validation (e.g., mapping of constructs on signals), triangulation, a physiology-driven approach, and contributions of the signal processing community. In parallel with this paper, in van den Broek et al. (2010) another set of two prerequisites is presented: integration of biosignals and physical characteristic. This paper continues this quest and defines two additional prerequisites: identification of users and theoretical specification. In addition, the second part of a review on the classification of emotions through ASP is presented; the first part can be found in van den Broek et al. (2009a).