Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Subphenotyping of prediabetes with a phenotypic tree model and its correlations with outcomes: Insights from two Chinese cohorts.

Journal of translational internal medicine·2026

Same author

The metabolic change trajectory of skeletal muscle during the life cycle: arteriovenous metabolomics.

Life medicine·2026

Same author

Microbial Colonization and Potential Bacterial Translocation of High-Flow Nasal Cannula Circuits During Prolonged Use in Elderly Hospitalized Patients: A Prospective Observational Study.

Clinical interventions in aging·2026

Same author

Flexible electrospun microcone-array SERS swab for rapid on-site detection of saffron adulteration.

Talanta·2026

Same author

Macrophage membrane-biomimetic nanoparticles for targeted delivery of melatonin in myocardial ischemia-reperfusion injury.

Nanomedicine : nanotechnology, biology, and medicine·2026

Same author

Neutrophil-Percentage-to-Albumin Ratio and Monocyte-to-Albumin Ratio: Utility of the Combined Biomarkers in the Prediction of 30-Day Mortality in Male Diabetes Patients Over 80 Years Old with Bloodstream Infections.

Clinical interventions in aging·2026

Same journal

Reconfigurable Multistate Optical Memory in Mixed Halide Perovskites.

ACS applied materials & interfaces·2026

Same journal

Tunable, High-Relaxivity Gd(III)-Conjugated Lipoic Acid Hydrogels for Magnetic Resonance Imaging.

ACS applied materials & interfaces·2026

Same journal

Effects of Metal Ions of Metal-Organic Framework Membranes on the Transport of NaCl Solutions toward Seawater Desalination.

ACS applied materials & interfaces·2026

Same journal

Immobilization of Single Ni Sites and Separated Pd Clusters in Covalent Organic Framework for Enhanced Electrochemical Reduction of Nitrite to Ammonia.

ACS applied materials & interfaces·2026

Same journal

Evidence for Step-Edge-Assisted Large Hole Borophene on Ni(111).

ACS applied materials & interfaces·2026

Same journal

Growth Mode-Dependent Bi Incorporation and Carrier Localization in GaAsBi Wires.

ACS applied materials & interfaces·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 21, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Combinatorial Bionic Hierarchical Flexible Strain Sensor for Sign Language Recognition with Machine Learning.

Xuanjie Zong^1,2, Nianqiang Zhang^1,2, Jilai Wang¹

¹Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, Shandong 250061, China.

ACS Applied Materials & Interfaces

|July 16, 2024

Summary

This summary is machine-generated.

This study introduces a novel flexible strain sensor (CBH-sensor) inspired by nature. It achieves a wide sensing range and high sensitivity, enabling accurate sign language gesture recognition for improved human-computer interaction.

Keywords:

bionic flexible strain sensors hierarchical structures machine learning sign language recognition

More Related Videos

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

Related Experiment Videos

Last Updated: Jun 21, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

Area of Science:

Materials Science
Biomedical Engineering
Wearable Technology

Background:

Flexible strain sensors are crucial for wearables and health monitoring.
Simultaneously achieving wide sensing range and high sensitivity remains a significant challenge.
Existing sensors often compromise performance for specific applications.

Purpose of the Study:

To develop a flexible strain sensor with a balanced wide sensing range and high sensitivity.
To create a sensor utilizing a cross-scale combinatorial bionic hierarchical design.
To demonstrate the sensor's application in sign language gesture recognition.

Main Methods:

A combinatorial bionic hierarchical design integrating microscale and macroscale features was employed.
Three-dimensional printing, prestretching, and mold transfer techniques were used to fabricate the sensor.
The sensor's performance was evaluated for its sensing range, sensitivity, and application in gesture recognition.

Main Results:

The combinatorial bionic hierarchical flexible strain sensor (CBH-sensor) achieved a wide sensing range of 150%.
The sensor demonstrated high sensitivity with a gauge factor of up to 2416.67.
An array of CBH-sensors successfully recognized nine sign language gestures with 100% accuracy using machine learning.

Conclusions:

The CBH-sensor effectively addresses the challenge of balancing sensing range and sensitivity.
The sensor shows significant potential for enabling communication for the deaf and hard-of-hearing community.
Applications in human-computer interfaces and gesture-driven interactions are promising.