基于七足尺寸的足部检测方法的设计与开发——以增强现实技术的虚拟试穿系统为例

IF 3.4 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Informatics Pub Date : 2023-06-05 DOI:10.3390/informatics10020048
Charlee Kaewrat, P. Boonbrahm, Bukhoree Sahoh
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引用次数: 0

摘要

鞋的形状和尺寸不合适是导致脚部不健康的一个关键原因,可能会严重导致易感人群(如糖尿病患者)的慢性损伤,如足部溃疡,因此需要以专家为基础的程序进行准确测量。然而,手动测量这种精确的形状和尺寸是劳动密集型的、耗时的,并且在实时系统中应用不切实际。这项研究提出了一种使用类似专家测量的足部检测方法来解决这一问题。它将七英尺尺寸模型与光检测和测距传感器相结合,对脚的形状和尺寸进行编码,并检测尺寸表面。开发了基于图形的算法来呈现七英尺的尺寸,并基于增强现实(AR)技术可视化鞋子的模型。结果表明,与传统方法相比,我们的方法可以更有效地检测形状和尺寸,有助于系统准确地模仿专家式的测量,并可用于基于易感人群的足部测量的智能应用。
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The Design and Development of a Foot-Detection Approach Based on Seven-Foot Dimensions: A Case Study of a Virtual Try-On Shoe System Using Augmented Reality Techniques
Unsuitable shoe shapes and sizes are a critical reason for unhealthy feet, may severely contribute to chronic injuries such as foot ulcers in susceptible people (e.g., diabetes patients), and thus need accurate measurements in the manner of expert-based procedures. However, the manual measure of such accurate shapes and sizes is labor-intensive, time-consuming, and impractical to apply in a real-time system. This research proposes a foot-detection approach using expert-like measurements to address this concern. It combines the seven-foot dimensions model and the light detection and ranging sensor to encode foot shapes and sizes and detect the dimension surfaces. The graph-based algorithms are developed to present seven-foot dimensions and visualize the shoe’s model based on the augmented reality (AR) technique. The results show that our approach can detect shapes and sizes more effectively than the traditional approach, helps the system imitate expert-like measurements accurately, and can be employed in intelligent applications for susceptible people-based feet measurements.
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来源期刊
Informatics
Informatics Social Sciences-Communication
CiteScore
6.60
自引率
6.50%
发文量
88
审稿时长
6 weeks
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