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Interactive and audience-adaptive information interfaces

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In the doctoral thesis we developed an interactive and user-adaptive information interface based on computer vision and machine learning methods. By using a camera-enhanced digital signage display we employed real-time computer vision algorithms to extract temporal. spatial. and demographic features of the observers. https://www.pipingrockers.shop/product-category/tongkat-ali/
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