Triboelectric Pressure Sensor With Microstructured PDMS for Human Motion and Gait Pattern Monitoring

This work presents a low-cost, out-of-cleanroom method for fabricating microstructured polydimethylsiloxane (PDMS) films for triboelectric pressure sensors, using a tape mold replication process that eliminates the need for expensive equipment. A triboelectric nanogenerator (TENG)-based pressure sensor is developed with materials, including PDMS, polyimide (kapton) films, and copper electrodes. The TENG-based pressure sensors have been successfully applied to monitor various human motions, such as walking (via insole integration), tactile sensing (via cup integration), foot pressure detection, and tracking movements such as elbow and finger bending, as well as jumping. The flexible sensor demonstrated high linearity (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$R^{2} =0.9817$ </tex-math></inline-formula>), a quick response time (100 ms), and a reliable loading and unloading rate (10 Hz). The sensor showed stable output across diverse forces and frequencies, which is ideal for flexible and wearable applications. These findings highlight the potential of the proposed TENG fabrication method for applications in wearable pressure sensors, self-powered electronic skin (e-skin) for humanoid robots, and human--machine interaction systems.

Authors

Institutions

Publication Details

Journal
IEEE Journal on Flexible Electronics
Published
2025-01-27
DOI
https://doi.org/10.1109/jflex.2025.3534158
Citations
3
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.02

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Triboelectric Pressure Sensor With Microstructured PDMS for Human Motion and Gait Pattern Monitoring

Mohammed Jalal Ahamed, Partha Sarati Das, Simon Rondeau‐Gagné
3 citations
IEEE Journal on Flexible Electronics
Advanced Sensor and Energy Harvesting Materials
2.02
article

Triboelectric Pressure Sensor With Microstructured PDMS for Human Motion and Gait Pattern Monitoring

Mohammed Jalal Ahamed, Partha Sarati Das, Simon Rondeau‐Gagné
article en
3 citations

Abstract

This work presents a low-cost, out-of-cleanroom method for fabricating microstructured polydimethylsiloxane (PDMS) films for triboelectric pressure sensors, using a tape mold replication process that eliminates the need for expensive equipment. A triboelectric nanogenerator (TENG)-based pressure sensor is developed with materials, including PDMS, polyimide (kapton) films, and copper electrodes. The TENG-based pressure sensors have been successfully applied to monitor various human motions, such as walking (via insole integration), tactile sensing (via cup integration), foot pressure detection, and tracking movements such as elbow and finger bending, as well as jumping. The flexible sensor demonstrated high linearity (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$R^{2} =0.9817$ </tex-math></inline-formula>), a quick response time (100 ms), and a reliable loading and unloading rate (10 Hz). The sensor showed stable output across diverse forces and frequencies, which is ideal for flexible and wearable applications. These findings highlight the potential of the proposed TENG fabrication method for applications in wearable pressure sensors, self-powered electronic skin (e-skin) for humanoid robots, and human--machine interaction systems.

IEEE Journal on Flexible ElectronicsVol. 4(2)
University of Windsor (CA)
Natural Sciences and Engineering Research Council of Canada
Affordable and clean energy
Openalex Percentile: Top 16%
Advanced Sensor and Energy Harvesting Materials
2.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.