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Student / Product Design

Qi

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Shortlisted
Medium or Format: Pneumatic therapy wearable: Reimagining traditional cupping with 3D-printed modular air tanks (PLA), elastic fabric actuators (TPU-airbladder layers), and Arduino-controlled pressure feedback. Integrated LED indicators visualize intensity
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Dimensions and/or Technical Information: 48cm × 62.5cm (L × W), 3D-printed vacuum tank, TPU-coated pneumatic bladders, Dual Arduino control, multi-unit modular air pump combination, RGB LED matrix
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Detailed Work Proposal/Additional Support Materials

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Rendering01

Product rendering

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Rendering03

Product rendering

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Prototype 01

Functional physical prototype part1

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Prototype 02

Functional physical prototype part2

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Prototype 03

Functional physical prototype on a human body mode

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Into video

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Machine Learning Demo

One of the function prototype: Machine Learning Demo

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Short Description of Work

"Qi" is an innovative wearable device that combines traditional cupping therapy and massage for portable self-help health management. It features a flexible airbag fabric design with adjustable suction and customizable settings to meet daily health needs. The project addresses two main challenges: integrating cupping and massage into portable automatic devices and balancing function, comfort, and aesthetics with innovative fabric technology.

The design incorporates an air pump structure, airbags, and functional fabrics, inspired by natural forms like octopus tentacles. The prototype uses embroidery, glue sealing, and an integrated air pump, with machine learning ensuring precise acupoint detection for different individuals, ensuring functionality and safety.

"Qi" merges tradition with technology, offering new possibilities for personal health. Future plans include optimizing technology and exploring new health applications.

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Tell us about your creative practice, and how your work engages with Chinese design, society, environment or culture.

Rooted in UAL Central Saint Martins' MA Design for Industry 5.0, our team merges Chinese cultural heritage with contemporary innovation to address societal-environmental-cultural needs. The "Qi" autonomous cupping device exemplifies this vision, modernizing traditional therapy through scientific rigor and technological integration.
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Leveraging machine learning, Qi generates personalized treatment protocols balancing therapeutic efficacy and comfort. Its pneumatic control system enables precision pressure modulation, preserving cupping's cultural essence while enhancing healing outcomes. This scientific framework honors historical legacy while advancing modern applications.
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Our innovation computationally decodes TCM meridian theory. An adaptive airbag matrix replicates the two meridians' topology, simulating practices diagnostic "acupoint palpation." This dynamic Qi-regulation mechanism maintains bianzheng shizhi personalization while creating data-driven' standardization, offering a verifiable model for TCM modernization.
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Targeting China's chronic pain crisis (280M sufferers, 2023), Qi deploys a three-phase protocol:
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ML-powered plans replicate traditional 'supplementing/reducing' techniques via precise positioning and dynamic pressure.
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A thermal layer integrates moxibustion principles.
This fusion of TCM wisdom and technology lowers accessibility barriers while propelling healthcare innovation.
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As a cultural-tech proposition, Qi navigates a critical AI-era challenge: positioning technology as an interpreter - not replacement - of traditional knowledge. It asserts TCM's global relevance by digitally recontextualizing Eastern philosophy without compromising authenticity, demonstrating how ancient practices can evolve technologically while preserving cultural roots. This synthesis charts a path for heritage-driven innovation in modern medicine.

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Qinan Chen; Yinghui Jiao; Yijun Xie; Jiaxing Wang; Yusen Han
Team base: UAL Central Saint Martins, London, UK. All members are current MA students from China

As MA Design for Industry 5.0 students at UAL's Central Saint Martins, we benefited from the robust resources of our institution, including the Physical Computing Lab and other specialized facilities. Under the strong leadership of our Course Leader, Assa, our team engaged in an interdisciplinary collaboration, leveraging these state-of-the-art resources to push the boundaries of innovation.

With the advanced technical support from our school's labs, we successfully integrated textile craftsmanship with machine learning, culminating in a groundbreaking product. Our diverse team of professionals is fueled by a spirit of innovation, adeptly merging intelligent technology with material exploration to chart a new course for the future of design.

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