Bumping Elbows explores a workflow integrating 3D body scanning technology with robotic knitting to create personalized garments. Traditional 3D knitting development relies on 2D drafts and panels, rooted in industrial flatbed knitting practices. Our approach leverages accurate topology measurements from 3D body scans to directly inform garment design and production, allowing for custom fits to unique body shapes. We will demonstrate this process through live 3D scanning and software demonstrations, highlighting the challenges and opportunities integrating body scans and knitting techniques like goring. Our included software addresses limitations of previous work and outlines advancements needed for broader research adoption, emphasizing the potential of combining 3D scanning with robotic knitting. This method offers enhanced personalization and sustainability in garment production, showcasing the ongoing challenges and advancements in achieving precision in robotic knitting.
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An overview of whole body scanners in 1998 (H.A.M. Daanen, G.J. Van De Water. Whole body scanners, Displays 19 (1998) 111–120) shortly after they emerged to the market revealed that the systems were bulky, slow, expensive and low in resolution. This update shows that new developments in sensing and processing technology, in particular in structured light scanners, have produced a new generation of easy to transport, fast, inexpensive, accurate and high resolution scanners. The systems are now moving to the consumer market with high impact for the garment industry. Since the internet sales of garments is rapidly increasing, information on body dimensions become essential to guarantee a good fit, and 3D scanners are expected to play a major role.
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Vertical urbanisation is perceived as necessary to accommodate a growing population but is associated with severe risks for human well-being. It requires a profound understanding of how archi-tectural designs can ensure visually readable and liveable environments before it has been built. How-ever, current digital representation techniques fail to address the diverse interests of non-experts. Emerging biometric technologies may deliver the missing user information to involve (future) inhabit-ants at different stages of the planning process. The study aims to gain insight into how non-experts (visually) experience 3D city visualizations of designed urban areas. In two laboratory studies, univer-sity students were randomly assigned to view a set of the same level of detail images from one of two planned urban area developments in the Netherlands. Using eye-tracking technology, the visual behav-iour metrics of fixation count and duration and general eye-movement patterns were recorded for each image, followed by a short survey. The results show how visual behaviour and perception are remark-ably similar across different detail levels, implying that 3D visualizations of planned urban develop-ments can be examined by non-experts much earlier in the design process than previously thought.
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