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Published in:
2015 | OriginalPaper | Chapter
Smart Playground: A Tangible Interactive Platform with Regular Toys for Young Kids
Authors : Duc-Minh Pham, Thinh Nguyen-Vo, Minh-Triet Tran
Published in: HCI International 2015 - Posters’ Extended Abstracts
Publisher: Springer International Publishing
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Abstract
In modern world, children need to get familiar with interactive toys to quickly improve their learning and imagination. Our approach is to add augmented information and interaction to common toys on the surface containing them, which is called Smart Playground. Popular methods use three color channels and local features to recognize objects. However, toys of children usually have various pictures with different colors drawn on many small components. Therefore depth data is useful in this case. Each toy usually have unique shape that is distinguishable from others. In this paper, we use an RGB-D sensor to collect information about both color and shape of objects. To learn the training set of toys, an approach of convolutional neural network is used to represent data (both color and depth) by high-level feature vectors. Using the combined results, the accuracy of 3D recognition is more than 90 %.