Skeleton-Based Gait Recognition Using Modified Deep Convolutional Neural Networks and Long Short-Term Memory for Person Recognition

Skeleton-Based Gait Recognition Using Modified Deep Convolutional Neural Networks and Long Short-Term Memory for Person Recognition

Vision-based person recognition is a method for identifying or recognizing a person based on gait features captured while walking with a camera. Despite the uniqueness of these gait features, their similarity among different individuals poses a significant challenge to the recognition process. This...

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Bibliographic Details
Main Authors: Riky Tri Yunardi, Tri Arief Sardjono, Ronny Mardiyanto
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Skeleton-based gait recognition
convolutional neural networks
long short-term memory
person recognition
Online Access:https://ieeexplore.ieee.org/document/10654784/

Internet

https://ieeexplore.ieee.org/document/10654784/

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