Abstract
This paper presents a gesture-based augmented reality system, which enables users to adjust the size, coordinates, rotation angles, and other parameters via hand gestures. The proposed approach significantly enhances accuracy in identifying hand gestures and labels. To assess the accuracy of product representation, we compared the presentation of products in the forms of internet pictures (IP), augmented reality (AR), full-sized augmented reality (FSAR), and physical product (PP) demonstration. It was found that, in the example of furniture evaluation, augmented reality provided more three-dimensional information than internet pictures; however, internet pictures proved superior in terms of ease of operation and manufacturing. Despite 3D rendering integrated within a real-world environment, augmented reality failed to match the demonstration of physical products with regard to the accuracy of representation.
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Chen, KM. (2013). Gesture-Based Human-Machine Interface: A Case Study Comparing the Realism of Furniture Products in E-Commerce. In: Stephanidis, C. (eds) HCI International 2013 - Posters’ Extended Abstracts. HCI 2013. Communications in Computer and Information Science, vol 373. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39473-7_134
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DOI: https://doi.org/10.1007/978-3-642-39473-7_134
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