The sensory materials library - AiLoupe Pecha Kucha presentation

Intelligent Design Systems for Innovation is developing AiLoupe, a mobile-app which utilises image recognition to identify, characterise and catalogue materials. It features the Royal College of Art’s Sensory Materials Library, a growing database which includes physical and sensory properties to help designers with materials selection in the product design process

Workshop on human-centred AI design methods to understand “Textiles Hand”

This collaborative workshop aims to co-generate tactile-based sensorial data for AI design tools. The project teams experienced in AI design methodologies and sensory materials assessment will deliver a material centric design workshop to understand embodied and tacit knowledge of the textiles world. With the contribution of participants, the new design methods to integrate the generated data will be discussed to build on the current state-of-the-art design tools

Human-centred AI design methods to understand intelligent systems design empowered by multisensory experience with textiles

Conceiving intelligent systems with human-robot interaction is difficult without first-hand knowledge of design tasks. This poster presents ideation results from a workshopon new forms of human-robotic collaboration primed with human experience of multisensory experiences with textiles. Twenty-five Intelligent System Design students were presented with traditional and contemporary design methods regarding the human experience of textiles, along with the latest research in AI and robotic evaluation of multisensory textile properties. Putting theory into practise, participants then engaged in individual tactile subjective assessments of a selection of fabrics with paper-based bipolar scales followed by group reflection on the process. This led into the brainstorming portion of the workshop with the prompt — How can AI collaboration in material assessments advance the applications intertwining with material tangibility? In order to have a range of ideations - participants voted on application domains and self-organised into groups with specific application focuses. The domains were (in order of popularity) – (1) Well-being and Care, (2) Gaming / Metaverse, (3) Craft, (4) Mobility Design and (5) Product Design. This poster presents a collection of ideas centred around these domains produced by the groups. The practical implications of this workshop was to demonstrate how a human-centred design process focused on multisensory experiences presented in theory and then through tactile practise can contribute towards ideation within intelligent systems design

AiLoupe at the Future Fabric Expo 2024

Pioneers since 2011, the annual Future Fabrics Expo aims to showcase the material solutions that place the preservation and regeneration of nature, climate and biodiversity at centre stage. AiLoupe allows designers and material developers to discover and assess textile materials for material identification, knowledge and selection. Identifying materials takes you to each Material Data Card, showing sensory subjective data, translating the tactile, physical elements of touching the materials digitally. AiLoupe uses the Sensory Materials Library which is an AI research project for materials selection in the product design process by improving conventional materials libraries with sensory and human experience properties of materials. We have demonstrated how AiLoupe can present sustainable alternatives as ‘like for likes’ to traditional less sustainable materials that Designers are more familiar with

AiLoupe at Dubai Design Week 2023

AiLoupe is the first in the suite of AI-driven design tools developed to benefit both the designer and consumer as part of research into how humans experience materials. AiLoupe takes inspiration from the Loupe, a traditional tool used to conduct fabric analysis, translating this tacit knowledge into a digital tool. AiLoupe uses a camera to recognise different materials and provide information about them. This includes information about the material, its sensory properties, composition, supply chain and volume of water used during the manufacturing process. By making this information readily available, AiLoupe aims to reduce waste and educate on sustainable practices throughout the supply chain. The tool will be useful for manufacturers, suppliers, designers and the end consumer. Intelligent Design System for Innovation is part of AiDLab, a research collaboration between Hong Kong Polytechnic University and the Royal College of Art. This research is funded by the Laboratory for Artificial Intelligence in Design under the InnoHK Research Clusters, Hong Kong Special Administrative Region Government

AiLoupe at Intertextile 2023

AiLoupe allows designers and material developers to discover and assess textile materials for material identification, knowledge and selection. Identifying materials takes you to each Material Data Card, showing sensory subjective data, translating the tactile, physical elements of touching the materials digitally. AiLoupe uses the Sensory Materials Library which is an AI research project for materials selection in the product design process by improving conventional materials libraries with sensory and human experience properties of materials. We have demonstrated how AiLoupe can present sustainable alternatives as ‘like for likes’ to traditional less sustainable materials that Designers are more familiar with

AiLoupe at the Future Fabric Expo 2023

Pioneers since 2011, the annual Future Fabrics Expo aims to showcase the material solutions that place the preservation and regeneration of nature, climate and biodiversity at centre stage. AiLoupe allows designers and material developers to discover and assess textile materials for material identification, knowledge and selection. Identifying materials takes you to each Material Data Card, showing sensory subjective data, translating the tactile, physical elements of touching the materials digitally. AiLoupe uses the Sensory Materials Library which is an AI research project for materials selection in the product design process by improving conventional materials libraries with sensory and human experience properties of materials. We have demonstrated how AiLoupe can present sustainable alternatives as ‘like for likes’ to traditional less sustainable materials that Designers are more familiar with

AiLoupe at Fashion X AI

From February 2023, Fashion X AI: 2022-2023 International Salon programme will showcase diverse AI empowered design solutions via a touring exhibition with venues in Hong Kong and London. The interactive exhibition will include the diverse works of international and local creative innovation practitioners AiLoupe allows designers and material developers to discover and assess textile materials for material identification, knowledge and selection. Identifying materials takes you to each Material Data Card, showing sensory subjective data, translating the tactile, physical elements of touching the materials digitally. AiLoupe uses the Sensory Materials Library which is an AI research project for materials selection in the product design process by improving conventional materials libraries with sensory and human experience properties of materials. We have demonstrated how AiLoupe can present sustainable alternatives as ‘like for likes’ to traditional less sustainable materials that Designers are more familiar with

Step training in a rat model for complex aneurysmal vascular microsurgery

Introduction: Microsurgery training is a key step for the young neurosurgeons. Both in vascular and peripheral nerve pathology, microsurgical techniques are useful tools for the proper treatment. Many training models have been described, including ex vivo (chicken wings) and in vivo (rat, rabbit) ones. Complex microsurgery training include termino-terminal vessel anastomosis and nerve repair. The aim of this study was to describe a reproducible complex microsurgery training model in rats.Materials and methods: The experimental animals were Brown Norway male rats between 10-16 weeks (average 13) and weighing between 250-400g (average 320g). We performed n=10 rat hind limb replantations. The surgical steps and preoperative management are carefully described. We evaluated the vascular patency by clinical assessment-color, temperature, capillary refill. The rats were daily inspected for any signs of infections. The nerve regeneration was assessed by foot print method.Results: There were no case of vascular compromise or autophagia. All rats had long term survival (>90 days). The nerve regeneration was clinically completed at 6 months postoperative. The mean operative time was 183 minutes, and ischemia time was 25 minutes