| id |
ecaade2018_399 |
| authors |
Cutellic, Pierre |
| year |
2018 |
| title |
UCHRON - An Event-Based Generative Design Software Implementing Fast Discriminative Cognitive Responses from Visual ERP BCI |
| doi |
https://doi.org/10.52842/conf.ecaade.2018.2.131
|
| source |
Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 131-138 |
| summary |
This research aims at investigating BCI technologies in the broad scope of CAAD applications exploiting early visual cognition in computational design. More precisely, this paper will describe the investigation of key BCI and ML components for the implementation and development of a software supporting this research : Uchron. It will be organised as follows. Firstly, it will introduce the pursued interest and contribution that visual-ERP EEG based BCI application for Generative Design may provide through a synthetic review of precedents and BCI technology. Secondly, selected BCI components will be described and a methodology will be presented to provide an appropriate framework for a CAAD software approach. This section main focus is on the processing component of the BCI. It distinguishes two key aspects of discrimination and generation in its design and proposes a new model based on GAN for modulated adversarial design. Emphasis will be made on the explicit use of inference loops integrating fast human cognitive responses and its individual capitalisation through time in order to reflect towards the generation of design and architectural features. |
| keywords |
Human Computer Interaction; Neurodesign; Generative Design; Design Computing and Cognition; Machine Learning |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (335,943 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:56 |
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