An investigation of simple neural network models using smartphone signals for recognition of manual industrial tasks

An investigation of simple neural network models using smartphone signals for recognition of manual industrial tasks

Abstract This article addresses the challenge of human activity recognition (HAR) in industrial environments, focusing on the effectiveness of various neural network architectures. In particular, simpler Feedforward Neural Networks (FNN) are focused on with an aim to optimize computational performan...

Full description

Saved in:
Bibliographic Details
Main Authors: Tacjana Niksa‑Rynkiewicz, Panorios Benardos, Anna Witkowska, George-Christopher Vosniakos
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Human activity recognition
Manufacturing
Gestures
Motion recognition
Sensors
Artificial neural networks
Online Access:https://doi.org/10.1038/s41598-025-06726-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-06726-y

Similar Items