Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
AFFECTIVE COMMUNICATION FOR IMPLICIT HUMAN-MACHINE INTERACTION
 

Summary: AFFECTIVE COMMUNICATION FOR IMPLICIT
HUMAN-MACHINE INTERACTION

0-7803-7952-7/03/$17.00 IEEE 2003
Abstract: A novel implicit communication framework in
human-machine interaction that is sensitive to human
affective states is presented in this paper. The focus is to
achieve detection and recognition of human affect based
on physiological signals. This involves building an affect
recognition system that accepts as input various
physiological parameters and predicts the probable
related affective state. Both decision tree and fuzzy logic
methodologies have been applied to this problem. This
paper presents the results of the two methods and
discusses their comparative merit. Three human subject
experiments were designed and trials were conducted with
six participants. The experimental results demonstrate the
feasibility of the proposed implicit human-machine
interaction framework.
Keywords: Affective computing, physiological responses,

  

Source: Adams, Julie A. - Department of Electrical Engineering and Computer Science, Vanderbilt University

 

Collections: Engineering; Computer Technologies and Information Sciences