Optimal Activity Recognition Framework Based on Improvement of Regularized Neighborhood Component Analysis (RNCA)

Optimal Activity Recognition Framework Based on Improvement of Regularized Neighborhood Component Analysis (RNCA)

This study aims to investigate the alternative model structure based on a feature selection algorithm on multiple features-framework of human activity recognition (HAR) via wearable sensor-based modality. Neighborhood component analysis (NCA) is a linear transformation that maximizes the accuracy of...

Full description

Saved in:
Bibliographic Details
Main Authors: Norazman Shahar, Muhammad Amir As'Ari, Tan Tian Swee, Nurul Fathia Ghazali
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Accelerometer
activity recognition
feature selection
gyroscope
machine learning
wearable sensor
Online Access:https://ieeexplore.ieee.org/document/10556512/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10556512/

Similar Items