Abstract: Accurate human body measurement is essential in the clothing and fashion industry to improve sizing accuracy and reduce product returns. Traditional measurement methods require expensive 3D scanners or manual tape measurements, which are time-consuming and less accessible. This paper presents a comprehensive analysis of AI-powered body measurement systems using a single RGB camera. By leveraging computer vision and machine learning techniques, this study examines body detection, anthropometric estimation, and elliptical modeling for circumference calculations. Additionally, we discuss challenges in measurement accuracy, ethical considerations, and future research directions. The findings contribute to the ongoing efforts to standardize body measurement techniques in the fashion industry, ensuring inclusivity, sustainability, and technological advancement in garment sizing. Furthermore, we explore the social, economic, and technological implications of AI-based measurement techniques in different industries.
Index Terms: Human body measurement, Machine learning, Computer vision, Fashion technology, Anthropometry, Sizing standardization, Privacy concerns, Inclusivity, AI ethics.
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DOI:
10.17148/IJARCCE.2025.14383
