Gestures - Emotions interaction: E-viographima application for visual artistic synthesis

Authors: Mavridou

http://eprints.bournemouth.ac.uk/23786/

Start date: 5 July 2016

Publisher: ACM

DOI: 10.1145/2948910.2948953

This study aims at developing an application, called “E-Viographima”, for real time artistic synthesis that utilises low-cost human-computer interaction devices. The diverse possibilities of artistic expression are approached through variations of visual stimuli whose parameters are altered according to motion captured data recorded while the users wag their hands, together with concurrent emotional states derived from the users’ brain activity. The hands’ movements are recorded by a motion capture system (Leap Motion) and four different emotional states are identified through electroencephalography signals (EEG) recorded by a brain signal detection headset (Emotiv Epoc). The primary scope of this project is to produce in real time a visualised output in the form of an interactive line that results in the creation of a synthesis out of contoured forms made by the automated and semi-automated elements.

This source preferred by Ifigeneia Mavridou

This data was imported from Scopus:

Authors: Mavridou, I.I.

http://eprints.bournemouth.ac.uk/23786/

Journal: ACM International Conference Proceeding Series

Volume: 05-06-July-2016

ISBN: 9781450343077

DOI: 10.1145/2948910.2948953

This study aims at developing an application, called "E-Viographima", for real time artistic synthesis that utilises low-cost human-computer interaction devices. The diverse possibilities of artistic expression are approached through variations of visual stimuli whose parameters are altered according to motion captured data recorded while the users wag their hands, together with concurrent emotional states derived from the users' brain activity. The hands' movements are recorded by a motion capture system (Leap Motion) and four different emotional states are identified through electroencephalography signals (EEG) recorded by a brain signal detection headset (Emotiv Epoc). The primary scope of this project is to produce in real time a visualised output in the form of an interactive line that results in the creation of a synthesis out of contoured forms made by the automated and semi-automated elements.

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