Evidence map›Paper›PMID 41600192›Full record

ArticleSensors (Basel, Switzerland)2026

Fabrication and Sensing Characterization of Ionic Polymer-Metal Composite Sensors for Human Motion Monitoring.

Guoxiao Yin, Chengbo Tian, Qinghua Jiang, Gengying Wang, Leqi Shao, Qinglin Li, Yang Li, Min Yu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Guoxiao YinJiangsu Key Laboratory of Bionic Materials and Equipment, College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Chengbo TianJiangsu Key Laboratory of Bionic Materials and Equipment, College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Qinghua JiangJiangsu Key Laboratory of Bionic Materials and Equipment, College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Gengying WangJiangsu Key Laboratory of Bionic Materials and Equipment, College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Leqi ShaoJiangsu Key Laboratory of Bionic Materials and Equipment, College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Qinglin LiJiangsu Key Laboratory of Bionic Materials and Equipment, College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Yang LiJiangsu Key Laboratory of Bionic Materials and Equipment, College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.ORCID 0000-0002-5709-3856
Min YuJiangsu Key Laboratory of Bionic Materials and Equipment, College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

Funding

Jiangsu Funding Program for Excellent Postdoctoral Talent 2024ZB126Jiangsu Provincial Natural Science Foundation BK20251401National Natural Science Foundation of China 52575123the Research Fund of State Key Laboratory of Mechanics and Control for Aerospace Structures (Nanjing University of Aeronautics and astronautics 1005-ZAG23011, MCAS-S-0424K01
6 · The paper itself

Abstract

This work presents the fabrication and a systematic evaluation of an ionic polymer-metal composite (IPMC) sensor, focusing on its potential for human motion monitoring and human-computer interaction. The sensor was fabricated via a solution casting and electroless plating process, and its morphology characterized using scanning electron microscopy. The sensing performance was comprehensively assessed, revealing high sensitivity (1.059 mV/N) in the low-pressure region, a fast response time (~50 ms), and reliable stability over prolonged cyclic testing. Furthermore, the sensor can respond to both the magnitude and rate of applied mechanical stimuli. To explore its application potential, the IPMC was tested in scenarios ranging from input pattern recognition-including distinguishing mouse-click patterns, handwritten letters, and binary-encoded presses-to human motion monitoring, where it effectively captured and differentiated signals from facial expressions, swallowing, breathing, and joint movements. The results suggest that the developed IPMC sensor is a promising candidate for applications in wearable health monitoring and flexible interactive systems.

Indexed as

Biosensing TechniquesMetalsPolymersHumansIonsMonitoring, PhysiologicMotionMotion CaptureMovementWearable Electronic DevicesIonsMetalsPolymershuman motion monitoringIPMCpressuresensing voltagesensor

Identifiers

PMID41600192
PMCPMC12845996

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.