Human Activity Recognition via Ultra-Wideband Data: A Framework for Dimensionality Reduction, Pattern Discovery, and Predictive Modeling

arXiv:2609.32008 · cs.LG · Submitted 2026-09-25 · Read on arXiv

cs.LG

Submitted: 2026-09-25

Updated: 2026-09-25

Comments: 14 pages, 9 figures. Manuscript prepared for submission to an IEEE journal in machine learning

Project page: https://www.ee.torontomu.ca/opr

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 37× in this paper · explained in 1 episode
• Human Activity Recognition — 33× in this paper
• Random Forest — 19× in this paper
• Interpretability — 18× in this paper · explained in 15 episodes
• Association Rule Mining — 17× in this paper
• Clustering — 11× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Vector Space Model — 7× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Post-PCA Standardization Approach — 3× in this paper
• Channel Impulse Response — 2× in this paper
• Fingerprinting — 2× in this paper · explained in 2 episodes
• Predictive Modeling — 2× in this paper · explained in 2 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Computer and Information Technology — 1× in this paper
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Hierarchical Classification — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

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