The main objective of this project is to design and create the installation called La Contextressa. La Contextressa is imagined as an artwork through which we would test some aspects on how and to what extent AI can be trained to form simple opinions about artistic contexts and comment out loud on them. Achieving a certain level of “smartness” in La Contextressa can help us push the research further in terms of complexity i.e. the La Contextressa can be trained to comment on more complex exhibitions where bodies, performances and/or movement are included.

FEKT/FaVU-J-20-6429

Czech

Zarevska Dragana, Mgr. - principal person responsible
Burget Radim, doc. Ing., Ph.D. - fellow researcher
Cenek Filip, doc. MgA. - fellow researcher
Kolařík Martin, Ing., Ph.D. - fellow researcher

Dean’s Office
- responsible department (29.4.2020 - not assigned)
Faculty of Fine Arts
- responsible department (29.4.2020 - 29.4.2020)
Department of Audiovisual Technology
- internal (1.1.2020 - 31.12.2020)
Department of Telecommunications
- internal (1.1.2020 - 31.12.2020)
Faculty of Electrical Engineering and Communication
- internal (1.1.2020 - 31.12.2020)
Dean’s Office
- co-beneficiary (1.1.2020 - 31.12.2020)
Faculty of Fine Arts
- beneficiary (1.1.2020 - 31.12.2020)

KOLAŘÍK, M.; ZAREVSKA, D.: La Contextressa; La Contextressa. Kancelář SE5.123 (Kolařík). URL: https://github.com/mrkolarik/la_contextressa. (software)
Detail

ZAREVSKA, D.; KOLAŘÍK, M.: La Contextressa; La Contextressa. www.contextressa.favu.vutbr.cz www.instagram.com/telemamasita. URL: http://www.contextressa.favu.vutbr.cz. (ostatní)
Detail

BAGHEL, N., SINGH, D, DUTTA, M.K., BURGET, R., & MYSKA, V. Truth Identification from EEG Signal by using Convolution neural network: Lie Detection. Truth Identification from EEG Signal by using Convolution neural network: Lie Detection. In 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). Milan, Italy: IEEE, 2020. p. 550-553. ISBN: 978-1-7281-6376-5.
Detail

Responsibility: Zarevska Dragana, Mgr.