Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

Worsening of Renal Function Among Hospitalized Patients With Acute Heart Failure: Phenotyping, Outcomes, and Predictors.

Mayo Clinic proceedings·2022
Same author

Cardiac function and exercise capacity in patients with metabolic syndrome: A cross-sectional study.

Frontiers in cardiovascular medicine·2022
Same author

Global patterns and abiotic drivers of ecosystem multifunctionality in dominant natural ecosystems.

Environment international·2022
Same author

Enhanced terahertz sensitivity for glucose detection with a hydrogel platform embedded with Au nanoparticles.

Biomedical optics express·2022
Same author

Polymorph control by designed ultrasound application strategy: The role of molecular self-assembly.

Ultrasonics sonochemistry·2022
Same author

MALT1 regulates Th2 and Th17 differentiation <i>via</i> NF-κB and JNK pathways, as well as correlates with disease activity and treatment outcome in rheumatoid arthritis.

Frontiers in immunology·2022

Related Experiment Video

Updated: Mar 14, 2026

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

9.2K

A Self-Powered Insole for Human Motion Recognition.

Yingzhou Han1,2,3, Yalu Cao4,5,6, Jingjing Zhao7,8,9

  • 1Collaborative Innovation Center for Micro/Nano Fabrication, Device and System, Tsinghua University, Beijing 100084, China. hanyz15@mails.tsinghua.edu.cn.

Sensors (Basel, Switzerland)
|September 21, 2016
PubMed
Summary

This study introduces a wearable insole that harvests energy from walking and recognizes human motion. This self-powered sensor offers a novel approach for wearable electronics and motion monitoring in sports and rehabilitation.

Keywords:
energy harvestermotion recognitionself-powered insolewearable sensors

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

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

Published on: December 15, 2023

5.6K
Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography
04:06

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Published on: January 12, 2024

1.1K

Related Experiment Videos

Last Updated: Mar 14, 2026

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior
10:52

Simulation of Human-induced Vibrations Based on the Characterized In-field Pedestrian Behavior

Published on: April 13, 2016

9.2K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

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

Published on: December 15, 2023

5.6K
Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography
04:06

Author Spotlight: Enhancing Remote Rehabilitation with Virtual Reality and Electromyography

Published on: January 12, 2024

1.1K

Area of Science:

  • Materials Science
  • Biomedical Engineering
  • Energy Harvesting

Background:

  • Wearable sensors require efficient power sources.
  • Biomechanical energy harvesting offers a sustainable solution for self-powered wearable devices.
  • Existing piezoelectric harvesters often lack optimal performance and integration for wearable applications.

Purpose of the Study:

  • To develop a wearable insole capable of both harvesting biomechanical energy from walking and functioning as a self-powered human motion recognition sensor.
  • To demonstrate the insole's capability to power electronic devices.
  • To validate the insole's effectiveness in distinguishing between different human locomotion modes.

Main Methods:

  • A novel sandwich structure insole was designed using wavy silica gel films and a flexible piezoelectric foil.
  • The insole's energy harvesting performance was evaluated by scavenging energy from human walking.
  • The insole's self-powered motion recognition capability was tested by analyzing generated waveforms during various activities like walking and running.

Main Results:

  • The developed insole effectively harvested energy from foot pressure during walking, capable of powering common electronics.
  • Distinct waveforms were generated corresponding to different human motion modes, enabling accurate classification.
  • The insole successfully differentiated between walking and running without external power, demonstrating high performance.

Conclusions:

  • The piezoelectric energy harvesting insole presents a high-performance alternative to conventional harvesters.
  • This technology expands the application of piezoelectric energy harvesters for self-powered wearable systems.
  • The insole provides a promising approach for wearable self-powered human motion monitoring in fields like rehabilitation and sports science.