Distilled mid-fusion transformer networks for multi-modal human activity recognition

Jingcheng Li; Lina Yao; Binghao Li; Claude Sammut

doi:10.1016/j.knosys.2025.114160

ScienceGate Book Chapters

JOURNAL ARTICLE

Distilled mid-fusion transformer networks for multi-modal human activity recognition

Jingcheng Li Lina Yao Binghao Li Claude Sammut

Year: 2025 Journal: Knowledge-Based Systems Vol: 327 Pages: 114160-114160 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2025.114160

Get Full-Text PDF Get Analytical Report

Keywords:

Transformer Modal Fusion Computer science Artificial intelligence Speech recognition Pattern recognition (psychology) Engineering Materials science Electrical engineering Voltage Composite material Linguistics Philosophy

Metrics

Cited By

4.77

FWCI (Field Weighted Citation Impact)

Refs

0.87

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Context-Aware Activity Recognition Systems

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Distilled mid-fusion transformer networks for multi-modal human activity recognition

Metrics

Citation History

Topics

Related Documents

Towards Wearable Multi-modal Human Activity Recognition with Deep Fusion Networks

Human activity recognition based on multi-modal fusion

Human Activity Recognition Using Multi-modal Data Fusion

Cmf-transformer: cross-modal fusion transformer for human action recognition

Multi-agent Transformer Networks for Multimodal Human Activity Recognition