Functional Sock With Laser-Induced Graphene-Based Triboelectric Sensor for Gait Monitoring Applications
This study reported a sock-based triboelectric gait sensor designed for gait monitoring. The sensor integrates laser-induced graphene (LIG) on Kevlar textile, encapsulated in Ecoflex, which functions as the negative triboelectric layer during interaction with floor surfaces. The LIG-based triboelectric sensor achieves a stable voltage output of ±12 V and a short-circuit current of ±1.5 μA at a contact frequency of 1.0 Hz and a separation distance of 25 mm. A Random Forest classifier was employed to distinguish between walking, running, and jumping based on voltage amplitude and frequency features, achieving an accuracy of 95.39%. To enhance user accessibility, a graphical user interface (GUI) was developed for intuitive visualization of classification results. This flexible, self-powered sock-based sensor offers a comfortable and efficient alternative to traditional insole-based systems, advancing wearable technology for precise gait analysis.
Authors
- Pei Song Chee (ORCID: https://orcid.org/0000-0001-7165-7788)
- Eng-Hock Lim (ORCID: https://orcid.org/0000-0001-5301-1115)
- Chun Hui Tan (ORCID: https://orcid.org/0000-0002-9726-0866)
- Chong Liu (ORCID: https://orcid.org/0000-0001-6953-3612)
- Kwong-Long Wong
Institutions
- Monash University Malaysia (MY)
- Universiti Tunku Abdul Rahman (MY)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1109/jsen.2025.3568296
- Citations
- 1
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- Universiti Tunku Abdul Rahman