Development of a multilingual digital signage system using a directional volumetric display and language identification
Autor: | Mitsuru Baba, Tomoyoshi Ito, Naoto Hoshikawa, Atsushi Shiraki, Tomoya Imamura, Hirotaka Nakayama |
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Rok vydání: | 2020 |
Předmět: |
Artificial neural network
Language identification business.industry Image quality Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Volumetric display Convolutional neural network Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Computer vision Artificial intelligence Electrical and Electronic Engineering Digital signage business Spoken language |
Zdroj: | OSA Continuum. 3:3187 |
ISSN: | 2578-7519 |
DOI: | 10.1364/osac.405929 |
Popis: | In a previous study, we have developed a directional volumetric display that handles multiple directional images. To realize a multilingual digital signage system, we implement a language identification function on the directional volumetric display. The language identification (English, Spanish or French) is performed using a convolutional neural network. The discrimination accuracy of the three languages is 91.9%. Combining the language identification function with the directional volumetric display, an image can be directed toward a specific speaker. The result is a multilingual digital signage system that adapts the image presentation to the spoken language. |
Databáze: | OpenAIRE |
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