Presentation

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18. Zeitgeist - A deep learning visualization of Social Flow
SessionPosters: Art & Design
DescriptionZeitgeist - the participatory artwork uses deep-learning algorithms to indicate creative ‘Flow’ mental states visualised on a holographic Pepper’s ghost display. Based on real-time analysis of physiological brainwave data through deep-learning algorithms, participants visually experience the probability of being in Flow - a mental state of creative peak performance.
Contributors
Oliver Gingrich
University of Greenwich
Shama Rahman
University of Edinburgh
NeuroCreate Ltd.
Daniel Hignell-Tully
University of Greenwich
Event Type
Poster
TimeMonday, 29 July 20249:00am - 5:30pm MDT
LocationMile High Pre-Function Area
Session TimeSunday, 28 July 20249:00am - 5:30pm MDTMonday, 29 July 20249:00am - 5:30pm MDTTuesday, 30 July 20249:00am - 5:30pm MDTWednesday, 31 July 20249:00am - 5:30pm MDTThursday, 1 August 20249:00am - 5:30pm MDT
LocationMile High Pre-Function Area
Registration Categories
Full Conference
Full Conference Supporter
Experience
Exhibitor Full Conference
Exhibitor Experience
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