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Flashlight drawing game with a neural network A.I.

Lopez-Cotarelo Flemons, David (2017) Flashlight drawing game with a neural network A.I.

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Abstract:Public spaces invite people to spend some of their time there, offering a space with particular architecture or aesthetic. However, they are usually limited in what they offer, and thus these spaces are not always used to their full potential. Since a significant part of the enjoyment of these spaces comes from the felt presence of other people also enjoying the public space, adding new reasons for the enjoyment of the space would add to the overall enjoyment of the space. A way to add to these public spaces is by having interactive installations that act as interactive playgrounds for people to enjoy in the space. The ideation, design, realisation, and testing of such an installation has been reported in the following report. The final product prototype is a game experience where users draw objects they are instructed to on a virtual canvas on a laptop screen using the flashlight on their smartphones. The user’s intended drawn objects are predicted by a neural network artificial intelligence in an anticipative way. The neural network builds intelligence on doodled drawings by a process of training before it is instructed to predict other doodled drawings.
Item Type:Essay (Bachelor)
Clients:
100% FAT, Enschede, Netherlands
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:02 science and culture in general
Programme:Creative Technology BSc (50447)
Link to this item:http://purl.utwente.nl/essays/73063
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