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

Magnetically levitated metasurface enabling tangible and bidirectional human-machine interaction.

Science advances·2026
Same author

Sub-femtosecond figure-of-merit millimeter-wave switches via solution-processed MoS<sub>2</sub> for 6G radio-frequency front-ends.

Nature communications·2026
Same author

Prospective validation and implementation of a model to identify patients with carbapenem-resistant Enterobacterales (CRE) carriage on admission to acute care hospitals.

Infection control and hospital epidemiology·2026
Same author

Structure-Controlled Cyclopentadithiophene Derived Non-Fullerene Acceptors for Efficient Near-Infrared Organic Photodetectors.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Near-Theoretical-Limit Doping of Poly(benzodifurandione) through Carbonyl-Driven Aminoalkylsilane Attachment.

Journal of the American Chemical Society·2026
Same author

Full-Stack Architectures for Intelligent Brain-Computer Interfaces.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Unlocking the capacity of Mn-based Prussian blue cathodes in capacitive deionization.

Nature communications·2026
Same journal

Scaling biodiversity-stability relationships from populations to meta-communities across trophic levels.

Nature communications·2026
Same journal

Thermodynamically programmed one-pot CRISPR platform for point-of-care SNP genotyping.

Nature communications·2026
Same journal

Engineering all-organic electrocatalysts with asymmetric dual-active sites for uncommon oxygen-evolving pathway.

Nature communications·2026
Same journal

Rapid GC content evolution in rice through GC-biased gene conversion and selection for translation efficiency.

Nature communications·2026
Same journal

Declines in organic matter persistence with increased soil carbon.

Nature communications·2026
See all related articles

Related Experiment Video

Updated: Jan 16, 2026

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

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

Published on: March 28, 2025

1.2K

Wearable interactive full-body motion tracking and haptic feedback network systems with deep learning.

Sang Uk Park1, Hee Kyu Lee1, Hyun Bin Kim1

  • 1Department of Electrical and Computer Engineering, Sungkyunkwan University, Seobu-ro, Jangan-gu, Suwon, Republic of Korea.

Nature Communications
|September 29, 2025
PubMed
Summary
This summary is machine-generated.

This study presents a cost-effective motion tracking system with full-body analysis and real-time haptic feedback. It enables personalized, bidirectional cues for enhanced user engagement in virtual reality and healthcare applications.

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

5.3K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.9K

Related Experiment Videos

Last Updated: Jan 16, 2026

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

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

Published on: March 28, 2025

1.2K
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

5.3K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.9K

Area of Science:

  • Robotics and Human-Computer Interaction
  • Wearable Technology and Haptics
  • Machine Learning for Motion Analysis

Background:

  • Advancements in virtual reality (VR) and Internet of Things (IoT) drive demand for sophisticated motion tracking.
  • Conventional systems are often expensive, limited to specific environments, or lack detailed feedback.
  • Existing solutions struggle to provide both comprehensive motion analysis and real-time haptic interaction.

Purpose of the Study:

  • To develop a cost-effective, integrated motion tracking and haptic feedback system.
  • To enable full-body motion analysis with personalized, real-time, bidirectional feedback.
  • To explore applications in immersive experiences and personalized healthcare.

Main Methods:

  • Integration of flexible, patch-type epidermal haptic devices.
  • Utilization of a remote machine learning framework for motion capture and analysis.
  • Implementation of a closed-loop system for time-synchronized, bidirectional haptic cues.

Main Results:

  • Successful capture of full-body motion using epidermal haptic devices.
  • Delivery of personalized and time-synchronized haptic feedback.
  • Demonstration of a closed-loop system facilitating user responsiveness.

Conclusions:

  • The developed system offers a cost-effective solution for advanced motion tracking and haptic feedback.
  • It paves the way for more immersive and interactive applications in VR and healthcare.
  • The integration of machine learning and epidermal haptics enhances user engagement and system adaptability.