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“E-static Soft Sensors: A study on applying industrial manufacturing techniques to develop self-powered triboelectric textile sensors for high-accuracy activity recognition in smart homes”

Project description

Everyday, materials-based, triboelectric textile sensors for smart homes

Friction between skin and synthetic fabrics generates triboelectricity, which can be harnessed for use in various applications in smart homes, such as fall detection and indoor navigation. Textile-based triboelectric nanogenerators (tTENGs) exhibit potential for powering low-energy devices. However, their sensing capabilities are currently limited, and they still require preparation for large-scale manufacturing. The EU-funded E-static softSensors project will create self-powered triboelectric textile sensors using common materials like wool and polyester. These sensors will be suitable for precise activity recognition in smart home applications, without the need for specialised materials. The project aims to enhance self-powered sensors through the integration of AI to improve functionality and optimise structures through textile construction, and to assess tactile properties for everyday integration.

Objective

E-static soft sensors is an investigation into manufacturing self-powered triboelectric textile sensors with regular materials (for e.g. wool, polyester and conductive yarns) for high-accuracy activity recognition in smart home applications. Triboelectricity is generated when materials such as human skin and synthetic fabrics repeatedly rub together. This form of electricity is considered annoying or can even be dangerous. However, when handled safely it can provide unique insights into our everyday interactions with textiles and present an environmentally-friendly solution for sensing different kinds of activities for smart home applications, such as fall detection for elderly care, assistance in indoor navigation or sports tracking and game design.
Recent advancements in textile-based triboelectric nano generators(tTENG) have highlighted the rich potential of using this energy for powering low-power devices. However, their sensing capabilities remain limited to a single repetitive movement. Additionally, the current work in tTENG present one-off prototypes and are not at a stage where they can be manufactured on a larger scale.
With an aim to tackle these challenges, the project develops an approach for constructing high-performance self-powered triboelectric sensors without the need for specialised materials using industrial production techniques of weaving, tufting, and embroidery. These sensors will be evaluated and optimised for high accuracy self-powered activity and gesture recognition by applying advanced textile construction knowledge to optimise the structures and using AI models to fine tune the sensing analysis. Additionally, their tactile and interactive properties would be evaluated in order to improve their suitability and acceptance of embedding them in everyday use-contexts.
The results of the project, including the patterns files for the sensors would be documented online and shared openly for supporting reuse, adaption or commercialisation.

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Topic(s)

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2022-PF-01

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Coordinator

AALTO KORKEAKOULUSAATIO SR
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 215 534,40
Address
OTAKAARI 1
02150 Espoo
Finland

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Region
Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa
Activity type
Higher or Secondary Education Establishments
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Total cost

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