Código QR (código de barras bidimensional)

A comparative analysis of LSTM models aided with attention and squeeze and excitation blocks for activity recognition

Abstract Human Activity Recognition plays a vital role in various fields, such as healthcare and smart environments. Traditional HAR methods rely on sensor or video data, but sensor-based systems have gained popularity due to their non-intrusive nature. Current challenges in HAR systems include vari...

Fuld beskrivelse

Na minha lista:
Principais autores: Murad Khan, Yousef Hossni
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-01-01
Serier:Scientific Reports
Fag:
Activity recognition
Deep learning
LSTM
Squeeze and excitation
Attention
Multi-head
Online adgang:https://doi.org/10.1038/s41598-025-88378-6
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker