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

PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography.

IEEE journal of biomedical and health informatics·2021

Same author

Dexmedetomidine post-conditioning ameliorates long-term neurological outcomes after neonatal hypoxic ischemia: The role of autophagy.

Life sciences·2021

Same author

[Corrigendum] Ski prevents TGF‑β‑induced EMT and cell invasion by repressing SMAD‑dependent signaling in non‑small cell lung cancer.

Oncology reports·2021

Same author

Synergistic Effects of Alpha Olefin Sulfonate and Sodium Alginate on Inkjet Printing of Cotton/Polyamide Fabrics.

Langmuir : the ACS journal of surfaces and colloids·2021

Same author

Diagnostic value of microRNA-25 in patients with non-small cell lung cancer in Chinese population: A systematic review and meta-analysis.

Medicine·2020

Same author

Development and external validation of a COVID-19 mortality risk prediction algorithm: a multicentre retrospective cohort study.

BMJ open·2020

Same journal

AdaWGAN: Data Augmentation for Few-Shot HD-sEMG Gesture Recognition Using Single-Trial Data.

IEEE journal of biomedical and health informatics·2026

Same journal

NeuroBooster: a domain-informed self-supervised learning paradigm tailored for brain MRI analysis.

IEEE journal of biomedical and health informatics·2026

Same journal

Graph Convolutional Neural Network based Depression Detection using Brain Functional Connectivity Measures.

IEEE journal of biomedical and health informatics·2026

Same journal

Improving Multi-Sensor Non-Invasive Glucose Detection through AI: A Domain Generalization Approach.

IEEE journal of biomedical and health informatics·2026

Same journal

Unmixing the Neck: Accurate Jugular Venous Pulse Detection From Wearable PPG.

IEEE journal of biomedical and health informatics·2026

Same journal

AD-DAE: Alzheimer's Disease Progression Modeling with Unpaired Longitudinal MRI using Diffusion Auto-Encoders.

IEEE journal of biomedical and health informatics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 4, 2025

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

Bi-CapsNet: A Binary Capsule Network for EEG-Based Emotion Recognition.

Yu Liu, Yi Wei, Chang Li

IEEE Journal of Biomedical and Health Informatics

|April 4, 2023

Summary

This summary is machine-generated.

We developed a Binary Capsule Network (Bi-CapsNet) for efficient electroencephalogram (EEG) emotion recognition. This method significantly reduces computational cost and memory usage, enabling practical applications on mobile devices.

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

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Related Experiment Videos

Last Updated: Aug 4, 2025

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

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

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Area of Science:

Artificial Intelligence
Neuroscience
Computer Science

Background:

Deep learning methods for electroencephalogram (EEG)-based emotion recognition are computationally intensive and memory-demanding.
This limits their practical deployment on resource-constrained devices.

Purpose of the Study:

To propose a Binary Capsule Network (Bi-CapsNet) for low-cost and memory-efficient EEG emotion recognition.
To evaluate its performance on established EEG emotion databases.

Main Methods:

The Bi-CapsNet binarizes 32-bit weights and activations to 1 bit, utilizing bitwise operations.
A continuous function approximates the binarization process to handle backward propagation.
The method was evaluated on the DEAP and DREAMER EEG emotion databases.

Main Results:

Bi-CapsNet achieved over a 25x reduction in computational cost and a 5x reduction in memory usage compared to its full-precision counterpart.
Recognition accuracy showed less than a 1% drop.
On mobile devices, Bi-CapsNet demonstrated approximately 5x faster inference using the Bolt framework.

Conclusions:

The proposed Bi-CapsNet offers a computationally efficient and memory-saving approach for EEG emotion recognition.
It achieves competitive performance with state-of-the-art methods and is suitable for mobile applications.