MotioGlyph is a high-dimensional movement-to-generative design framework exploring how body movement can shape third places. In London, vital urban nodes face pressures of density, exclusion, and the absence of adaptive design. This project responds by examining the multidimensional dynamics of urban life, with third places as drivers of resilience and collective experience. Mile End, along Regent’s Canal, is the test ground.

Using a pose detection neural network on film media, the study traces how the body influences space, showing how movement classes structure behaviour and produces cultural gestures. Body points are segmented into three-dimensional coordinates to analyse stances and pauses as reflections of identity, while unsupervised clustering, driven by axial variations, yields adaptive, inclusive strategies, responsive to local rhythms.

Through spatial analytics, the project decodes urban motion to reimagine third places, transforming the city into a living choreography of people and place. MotioGlyph reframes these testing grounds as spatial dialogues, where the body as a matrix of urban code is both language and logic.