Natural biowaste material-based green triboelectric nanogenerators for self-powered gait monitoring

RSC Advances 2026 Open access

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Authors: Md. Mahmodul Hasan, Nasrin Sultana Ety, Fakhrul Islam, Subrata Bhowmik, Kamaruzzaman, S M Sohel Rana
DOI: 10.1039/d5ra09038e
Cited by: 10
References: 50

Abstract

, and operates in the pressure range of 1-126 kPa. Finally, we showcase its potential by integrating the EA-TENG into flexible sensors capable of accurately monitoring human movements, with a motion detection accuracy of 99.3% achieved using a deep learning-based model. This study comprehensively examines the fundamental triboelectric characteristics of natural fibers and the influence of material composition on output performance, thereby contributing to the field of sustainable energy harvesting technologies and green self-powered sensor applications to reduce electronic waste.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Conducting polymers and applications Dielectric materials and actuators

Publication details

Journal / source
RSC Advances
Publisher
Royal Society of Chemistry (RSC)
Volume
16
Issue
4
Pages
3281–3295
Publication date
1 January 2026
Language
EN