Back to search

Article

Inertial Sensor-Based Classification of Field Hockey Activities through Feature Selection and Optimization

2025-06-20

Abstract excerpt

<title>Abstract</title> <p>This study presents a two-stage feature selection framework to enhance the performance and efficiency of human activity recognition (HAR) using inertial sensor data. The proposed pipeline integrates Minimum Redundancy Maximum Relevance (MRMR) with Regularized Neighborhood Component Analysis (RNCA) to systematically reduce feature dimensionality while preserving discriminative power. Ini...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
97d82f5b-914f-53f9-aa8f-7b1aceac3741
DOI
10.21203/rs.3.rs-6763631/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Inertial Sensor-Based Classification of Field Hockey Activities through Feature Selection and OptimizationDOI 10.21203/rs.3.rs-6763631/v1
Select a neighboring publication to make it the new centre.