Development of an Intelligent Personalized Clothing Design System Based on Machine Learning Methods and Digital Anthropometry

Abstract

This paper investigates the development of an intelligent personalized clothing design system based on machine learning methods and digital anthropometry. The study examines the integration of artificial intelligence, three-dimensional body scanning, computer vision, and computer-aided design technologies to improve the accuracy and efficiency of garment design. The proposed intelligent system enables automated anthropometric data processing, personalized pattern generation, virtual fitting, and continuous model improvement through self-learning algorithms. The research demonstrates that combining digital anthropometry with machine learning contributes to higher garment fit accuracy, reduced production costs, enhanced customer satisfaction, and more sustainable apparel manufacturing. The findings indicate that intelligent personalized clothing design systems represent a promising direction for the digital transformation of the textile and apparel industry within the framework of Industry 4.0.