Year: 2013
Type: dissertation
Abstract: The purpose of this thesis was to create and test a proof-of-concept novel ambulatory EEG system to monitor emotional valence in real-time. A qualitative comparison of a wireless EEG acquisition system by the imec group to a gold standard laboratory EEG system was successfully performed. A new wireless transmission system was created using the Texas Instruments’ ADS1299 EEG front-end chip and quantitatively compared to the gold standard system. This system and the ADS1299 performance demonstration kit were used to evaluate several equations for emotional valence classification. Three of these equations were able to correctly classify emotional valence on a positive-neutral vs. negative basis over 90% of the time on the performance demonstration kit and over 90% of the time on the wireless system. The wireless data was acquired and saved on a novel BlackBerry application that also allowed emotional self-assessment by the user during testing.
Source: TSpace (University of Toronto)
Author: Gregory Jackson
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2557013702