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March 8, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

Smart Textile Based Wearable Sensors for Monitoring Isolation‐Related Affective States: A Step Towards Loneliness Prediction

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JLJingqi LiuFPFreya ProbstYZYi Zhou

Key Points

  • This research aims to develop a wearable textile sensor system to monitor physiological changes related to loneliness due to social isolation.
  • Developed a multi-sensing wearable system integrated into textiles.
  • Monitored physiological signals including ECG, EMG, respiration, skin temperature, and GSR.
  • Conducted experiments under three affective arousal conditions: low, moderate, and high.
  • Identified distinct physiological patterns across different emotional arousal states.
  • Noted reduced heart rate variability and more regular respiration under low emotional arousal.
  • Observed lower skin conductance activity and decreased muscular engagement in low emotional states compared to interactive conditions.

Abstract

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.

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Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/69ada885bc08abd80d5bb8cehttps://doi.org/10.1002/adsr.202500161
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