Soft Transducers With Notch Filters for Spatially Distributed Strain Sensing

Sensor arrays for soft and stretchable electronics typically require a large number of electrical leads that scale with the number of sensing nodes within an array. Whereas rigid electronics can incorporate transistors and complex CMOS architectures for sensor multiplexing, soft material circuits are largely limited in how individual sensing nodes can be addressed. To overcome this challenge, we introduce an approach that utilizes a variable-frequency notch filter to encapsulate resistive or capacitive soft-material and rigid sensors for use in the detection of phenomena including material strain, applied force, and temperature. This design builds on the rich and growing body of research using capacitive and resistive soft material sensors, providing a customizable framework on which to build distributed sensing networks. In particular, we investigate how incorporating strain-sensitive components into a notch filter enables tuning of the sensor’s sensitivity, independent of the particular capacitor or resistor design, allowing sensor responses to be isolated and allow network reconfiguration without calibration. Our approach offers a straightforward means of connecting multiple sensors, even of different types, in a common sensing network with minimal wiring and interface requirements. The active filters were designed to fit in a small area and require minimal rigid components to facilitate incorporation into highly stretchable or bendable soft systems.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-09-16
DOI
https://doi.org/10.1109/jsen.2025.3607761
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Soft Transducers With Notch Filters for Spatially Distributed Strain Sensing

Carmel Majidi, Dylan Shah, Anthony Wertz
IEEE Sensors Journal
Advanced Sensor and Energy Harvesting Materials
article

Soft Transducers With Notch Filters for Spatially Distributed Strain Sensing

Carmel Majidi, Dylan Shah, Anthony Wertz
article en

Abstract

Sensor arrays for soft and stretchable electronics typically require a large number of electrical leads that scale with the number of sensing nodes within an array. Whereas rigid electronics can incorporate transistors and complex CMOS architectures for sensor multiplexing, soft material circuits are largely limited in how individual sensing nodes can be addressed. To overcome this challenge, we introduce an approach that utilizes a variable-frequency notch filter to encapsulate resistive or capacitive soft-material and rigid sensors for use in the detection of phenomena including material strain, applied force, and temperature. This design builds on the rich and growing body of research using capacitive and resistive soft material sensors, providing a customizable framework on which to build distributed sensing networks. In particular, we investigate how incorporating strain-sensitive components into a notch filter enables tuning of the sensor’s sensitivity, independent of the particular capacitor or resistor design, allowing sensor responses to be isolated and allow network reconfiguration without calibration. Our approach offers a straightforward means of connecting multiple sensors, even of different types, in a common sensing network with minimal wiring and interface requirements. The active filters were designed to fit in a small area and require minimal rigid components to facilitate incorporation into highly stretchable or bendable soft systems.

IEEE Sensors JournalVol. 25(20)
Advanced Research Systems (US), Carnegie Mellon University (US)
Openalex Percentile: Top 76%
Advanced Sensor and Energy Harvesting Materials
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.