Liu, J. orcid.org/0009-0002-7405-8590, Probst, F., Zhou, Y. et al. (9 more authors) (2026) Smart Textile Based Wearable Sensors for Monitoring Isolation‐Related Affective States: A Step Towards Loneliness Prediction. Advanced Sensor Research, 5 (3). e00161. ISSN: 2751-1219
Abstract
Loneliness is a significant psychosocial factor that negatively impacting the health and quality of life of individuals, with social isolation recognized as a major risk factor. This paper presents a wearable, textile based multi‐sensing system to continuously monitoring physiological changes associated with isolation related affective states which toward future loneliness detection. The system integrates flexible, non‐invasive textile sensors for electrocardiogram (ECG), electromyography (EMG), respiration, skin temperature, and galvanic skin response (GSR) within textile, enabling continuous physiological monitoring and analyses for analyzing loneliness resulting from isolation. In our pilot study, physiological signals are recorded dunder three controlled affective arousal conditions: Low emotional arousal induced by quiet sitting, moderate emotional arousal associated with social conversation, and high emotional arousal elicited by positive emotional arousal. Experimental results demonstrate distinct physiological patterns across conditions, including reduced heart rate variability, more regular respiration, lower skin conductance activity, and decreased muscular engagement under low emotional arousal compared with socially interactive and highly arousing states. This scalable and cost‐effective solution supports proactive monitoring and assessment of loneliness for users, offering potential for timely interventions by caregivers, and clinicians. The work advances emotion‐aware wearable systems for geriatric care and mental health support.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 The Author(s). Advanced Sensor Research published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | electrocardiography (ECG); electromyography (EMG); loneliness; mental health; physiological monitoring; respiration; skin conductance; smart textile; wearable technology |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Healthcare (Leeds) The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
| Date Deposited: | 27 Mar 2026 11:39 |
| Last Modified: | 27 Mar 2026 11:39 |
| Status: | Published |
| Publisher: | Wiley |
| Identification Number: | 10.1002/adsr.202500161 |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:239370 |


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