Themes of Work

Our research centres around the body and how technology can be used to improve how that body exists and interacts with the surrounding environment. We focus on haptic and aural modalities, using textiles as the physical medium for building wearable computational systems. Some of the research projects we undertake focus exclusively on textile sensing and interfaces whilst other focus solely on how auditory displays can be improved for users. A growing area of our work is looking towards how these two complementary technologies can be brought together in novel applications.

Below is an non-exhaustive list of some of the research we have undertaken.

Current EU Funded Projects

SONICOM

SONICOM is a research project that aims to revolutionise the way we interact socially within augmented and virtual reality (AR/VR) environments and applications, from online meetings to VR gaming.

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STELEC

STELEC, short for Sustainable Textile ELECtronics, is an interdisciplinary research project funded by the European Innovation Council (EIC) under the Pathfinder programmes in the responsible electronics topic seeking cutting-edge innovation with an end goal at TRL 2-3. The project is a multinational collaboration of research institutes, universities and companies across Europe. It aims at developing next generation textile-based electronics in applications from sensing, processing to AI, with a commitment to full lifecycle sustainability.

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Citation

BibTex format

@article{Zhou:2024:10.1002/aisy.202400124,
author = {Zhou, Y and Sun, Y and Li, Y and Shen, C and Lou, Z and Min, X and Stewart, R},
doi = {10.1002/aisy.202400124},
journal = {Advanced Intelligent Systems},
title = {A highly durable and UVresistant graphenebased knitted textile sensing sleeve for human joint angle monitoring and gesture differentiation},
url = {http://dx.doi.org/10.1002/aisy.202400124},
volume = {6},
year = {2024}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Flexible strain sensors based on textiles have attracted extensive attention owing to their light weight, flexibility, and comfort when wearing. However, challenges in integrating textile strain sensors into wearable sensing devices include the need for outstanding sensing performance, long-term monitoring stability, and fast, convenient integration processes to achieve comprehensive monitoring. The scalable fabrication technique presented here addresses these challenges by incorporating customizable graphene-based sensing networks into knitted structures, thus creating sensing sleeves for precise motion detection and differentiation. The performance and real-world application potential of the sensing sleeve are evaluated by its precision in angle estimation and complex joint motion recognition during intra- and intersubject studies. For intra-subject analysis, the sensing sleeve only exhibits a 2.34° angle error in five different knee activities among 20 participants, and the sensing sleeves show up to 94.1% and 96.1% accuracy in the gesture classification of knee and elbow, respectively. For inter-subject analysis, the sensing sleeve demonstrates a 4.21° angle error, and it shows up to 79.9% and 85.5% accuracy in the gesture classification of knee and elbow, respectively. An activity-guided user interface compatible with the sensing sleeves for human motion monitoring in home healthcare applications is presented to illustrate the potential applications.
AU  - Zhou,Y
AU  - Sun,Y
AU  - Li,Y
AU  - Shen,C
AU  - Lou,Z
AU  - Min,X
AU  - Stewart,R
DO  - 10.1002/aisy.202400124
PY  - 2024///
SN  - 2640-4567
TI  - A highly durable and UVresistant graphenebased knitted textile sensing sleeve for human joint angle monitoring and gesture differentiation
T2  - Advanced Intelligent Systems
UR  - http://dx.doi.org/10.1002/aisy.202400124
VL  - 6
ER  -
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