An Efficient Human Activity Recognition Using Hybrid Features and Transformer Model

An Efficient Human Activity Recognition Using Hybrid Features and Transformer Model

Human activity recognition is a challenging and active research topic in computer science due to its applications in video surveillance, health monitoring, rehabilitation, human-robot interaction, robotics, gesture and posture analysis, and sports. In the past, various studies have utilized manual f...

Full description

Bibliographic Details
Main Authors: Oumaima Saidani, Majed Alsafyani, Roobaea Alroobaea, Nazik Alturki, Rashid Jahangir, Leila Jamel
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Human activity recognition
HAR
transformer
hybrid features
PAMP2
Online Access:https://ieeexplore.ieee.org/document/10247518/

Internet

https://ieeexplore.ieee.org/document/10247518/

Similar Items