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

Self-filtering monolithic organic/PbS quantum dot photodetector for visible and short-wave infrared selective vision in low-light.

Nature communications·2026
Same author

Governing Thermal Transport in Three-Dimensional Electronics.

ACS nano·2026
Same author

Ionic Landscape Engineering via Perovskite Quantum Dots for Reliable and Energy-Efficient Perovskite Memristors.

ACS nano·2026
Same author

Gate dielectric stack design for 2D materials-based electronics.

Nano convergence·2026
Same author

Challenges and prospects of 2D electronics for future monolithic complementary field-effect transistors.

Nature communications·2026
Same author

Two-dimensional materials for integrated sensing.

Nature materials·2026
Same journal

Directional Pressure Pump Hydrogel Transmission Platform Provides Bionic Contractile Force and Remodels the Healing Process for Diabetic Mechanically Dynamic Wounds.

ACS nano·2026
Same journal

Exciton-Resolved Phonon Coupling and Energy Dissipation Pathways in CsPbBr<sub>3</sub>.

ACS nano·2026
Same journal

Engineering the Self-Assembly of Bacterial Microcompartment Shell Proteins via Charged Mutations.

ACS nano·2026
Same journal

Electrically Tunable Excitonic-Hyperbolicity in Chirality-Pure Carbon Nanotubes.

ACS nano·2026
Same journal

Autophagy-Inducing and cfDNA-Scavenging Nanoparticles for Synergistic Atherosclerosis Therapy.

ACS nano·2026
Same journal

Interface Excitons in van der Waals Sandwich Heterostructures.

ACS nano·2026
See all related articles
  1. Home
  3. Event-driven Neuromorphic Gaze Decoding Via E-skin Electrooculography.
  1. Home
  3. Event-driven Neuromorphic Gaze Decoding Via E-skin Electrooculography.

Related Experiment Video

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram
06:12

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram

Published on: March 13, 2018

11.2K

Event-Driven Neuromorphic Gaze Decoding via e-Skin Electrooculography.

Siwoo Jeong1, Hyun Woo Ko2,3, Ji-Hoon Kang4

  • 1Department of Sports Rehabilitation Medicine, Kyungil University, Gyeongsan 38428, Republic of Korea.

ACS Nano
|April 15, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a novel electrooculography (EOG) interface using e-skin sensors and neuromorphic processing for real-time gaze decoding. This glassless, low-power wearable technology enhances immersive computing and assistive interfaces.

Keywords:
attention mechanismelectronic skinelectrooculographyextended realityneuromorphic computingresistive random-access memoryspiking neural network

More Related Videos

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

7.4K
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

1.5K

Related Experiment Videos

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram
06:12

Recording Horizontal Saccade Performances Accurately in Neurological Patients Using Electro-oculogram

Published on: March 13, 2018

11.2K
Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content
10:41

Using Electroencephalography Measurements and High-quality Video Recording for Analyzing Visual Perception of Media Content

Published on: May 26, 2018

7.4K
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

1.5K

Area of Science:

  • Bioelectronics
  • Neuromorphic Computing
  • Wearable Technology

Background:

  • Traditional wearable eye-tracking systems face limitations in bulkiness, power consumption, and reliance on external computation.
  • There is a need for unobtrusive, energy-efficient, and private eye-tracking solutions for advanced human-computer interfaces.

Purpose of the Study:

  • To develop a hardware-software codesigned electrooculography (EOG) interface for real-time gaze decoding.
  • To integrate ultrathin conformal e-skin sensors with resistive random-access memory (RRAM) for efficient neuromorphic processing.
  • To create a glassless, low-power, and private wearable eye-tracking system.

Main Methods:

  • Utilized ultrathin conformal e-skin sensors for stable acquisition of vertical and horizontal oculomotor signals.
  • Implemented a neuromorphic processing pipeline using RRAM crossbars for synaptic vector-matrix multiplication.
  • Developed a lightweight spiking neural network (SNN) for classifying attention-guided spike features from EOG signals.
  • Employed noise-aware training for quantized weights on the RRAM array to ensure robust inference.

    • Main Results:

    • Achieved real-time gaze decoding with a hardware-software codesigned EOG interface.
    • Demonstrated substantial reduction in latency and energy demand compared to conventional methods.
    • Ensured robust inference through noise-aware training and quantized weights on RRAM.
    • Enabled edge-level computation for enhanced user privacy and elimination of cloud dependency.

    Conclusions:

    • The proposed glassless, energy-efficient wearable interface advances immersive computing, assistive technologies, and mobile health monitoring.
    • Flexible bioelectronics integrated with neuromorphic processors offer a promising pathway for next-generation wearable interfaces.
    • The EOG-based system provides a private and unobtrusive solution for real-time gaze tracking.