Physiquewhere

Physiquewhere is a conceptual framework describing how human physique can be represented as coordinates in a multidimensional feature space. It seeks to capture the full diversity of body shapes beyond simple categories, enabling comparisons, personalization, and analysis across fields such as fashion, ergonomics, sports science, and health technology.

In practice, Physiquewhere combines data from 3D body scans, anthropometric measurements, and image-based assessments. Statistical and computational methods—such as principal component analysis, clustering, and machine learning—are used to derive axes of variation and to define profiles or zones that describe typical body configurations. These zones are treated as continua rather than fixed classes.

Applications include garment sizing and fit prediction, product design and customization, athletic performance assessment, and population studies of body diversity. By mapping individuals into the parameter space, researchers and practitioners can compare forms, predict fit outcomes, and support personalized recommendations.

Ethical considerations include privacy, consent, data security, and the potential for misuse or bias if representation is incomplete. Emphasis is placed on transparent data practices and on avoiding stereotyping based on physique.

Physiquewhere is an emergent concept with varying interpretations; no universal standard exists, but it provides a framework for structured discussion about human form in design and analysis.