This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.The goal of the research is to develop a tool for recognizing human emotions during human-computer interaction. This will be accomplished by combining quantitive indexes extracted from non-invasive recordings of four physiological signals: Skin Conductance, Blood Volume Pulse, Electrocardiogram, Electroencephalogram and Respiration. Non-invasive biosensors, communicating with a PC, will be applied to 60 students and data will be collected during exposure to three different computer-medicated content stimuli designed to evoke specific emotional states: stress, relaxation and engagement. In this research we will study both the general emotion evaluation algorithm, and the analysis suggesting whether some of the quantitative indexes may be successful in characterizing and distinguishing between the three different emotional states.
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