Evidence map›Paper›PMID 39903805›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Structure and Wiring Optimized TT/MT Double-Helical Fiber Sensors: Fabrication and Applications in Human Motion Monitoring and Gesture Recognition.

Ziwei Chen, Daoxiong Qian, Dandan Xie, Chunxia Gao, Jian Shi, Hideaki Morikawa, Chunhong Zhu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

Ziwei ChenGraduate School of Medicine, Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, Nagano, 3868567, Japan.
Daoxiong QianInstitute for Fiber Engineering and Science (IFES), Shinshu University, 3-15-1 Tokida, Ueda, Nagano, 3868567, Japan.
Dandan XieGraduate School of Medicine, Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, Nagano, 3868567, Japan.
Chunxia GaoSchool of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225002, China.
Jian ShiGraduate School of Medicine, Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, Nagano, 3868567, Japan.
Hideaki MorikawaGraduate School of Medicine, Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, Nagano, 3868567, Japan.
Chunhong ZhuGraduate School of Medicine, Science and Technology, Shinshu University, 3-15-1 Tokida, Ueda, Nagano, 3868567, Japan.ORCID https://orcid.org/0000-0001-9251-7899

Funding

Japan Society for the Promotion of Science KAKENHI JP20H00288Japan Society for the Promotion of Science KAKENHI JP22K02136TAKEUCHI IKUE Scholarship
6 · The paper itself

Abstract

A fibrous flexible sensor, with its small size, minimally burdens the human body, ranking among the most user-friendly flexible sensors. However, its application is often limited by damage caused by electrode movement, as flexible sensors are typically attached to joints, which can be greatly alleviated by placing the two electrodes on the same side. Inspired by the hydrogen bonds in the double-helical structure of DNA, the double-helical electrode design is commonly found and applied in fiber-based batteries and supercapacitors into fibrous flexible sensors through coaxial wet-spinning and further treatment. The double helical sensor exhibits high strength and maintains stable operation and is prepared under over 300% strain with gauge factors (GF) of 0.9, 39.5, and 349, respectively, in its working ranges. This unique single-sided electrode structure also enabled applications such as water flow sensing. The sensor into a smart glove capable of real-time is further integrated, five-channel finger motion detection, and used a convolutional neural network (CNN)-based machine learning algorithm to achieve 98.8% accuracy in recognizing six common gestures. This study provides a novel approach to optimize the electrode distribution in fiber-based flexible sensors through an internally encapsulated double-helical structure, making a significant contribution to the field of flexible sensing.

Indexed as

GesturesWearable Electronic DevicesElectrodesEquipment DesignHumansMonitoring, PhysiologicMovementNeural Networks, Computercoaxial wet‐spinningdouble‐helical fiberflexible sensorgesture recognitionhuman motion monitoring

Identifiers

PMID39903805
PMCPMC11948013

What OpenQuestion holds

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Registered trials

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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.