Deep Learning Gait Recognition Method with Self-attention

In today’s era, gait recognition has received extensive attention due to its excellent anti-counterfeiting, accurate recognition effect and flexible application. The development of this recognition method has received great attention. The recognition of gait data by artificial intelligence algorithm is helpful to observe, predict and effectively use motion data. Currently, The computer vision recognition technology and radar-based limb motion recognition technology has been widely used for gait recognition. However, the existing technologies exhibit limitations in terms of recognition range and insufficient recognition accuracy. But there is an increasing demand for comprehensive and accurate gait recognition technology. Therefore, improving various indicators of gait recognition has become a rather popular and important research direction today.

Authors

Institutions

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/icairc64177.2024.10900018
Primary Topic
Gait Recognition and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deep Learning Gait Recognition Method with Self-attention

Zexing Du, Dewen Zhao
Gait Recognition and Analysis
article

Deep Learning Gait Recognition Method with Self-attention

Zexing Du, Dewen Zhao
article en

Abstract

In today’s era, gait recognition has received extensive attention due to its excellent anti-counterfeiting, accurate recognition effect and flexible application. The development of this recognition method has received great attention. The recognition of gait data by artificial intelligence algorithm is helpful to observe, predict and effectively use motion data. Currently, The computer vision recognition technology and radar-based limb motion recognition technology has been widely used for gait recognition. However, the existing technologies exhibit limitations in terms of recognition range and insufficient recognition accuracy. But there is an increasing demand for comprehensive and accurate gait recognition technology. Therefore, improving various indicators of gait recognition has become a rather popular and important research direction today.

Harbin Engineering University (CN)
Openalex Percentile: Top 75%
Gait Recognition and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.