Woolman, T.A. and Pickard, J.L. (2022) Gradient Descent Machine Learning with Equivalency Testing for Non-Subject Dependent Applications in Human Activity Recognition. EAI Endorsed Transactions on Context-aware Systems and Applications.
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Abstract
INTRODUCTION: A solution to subject-independent HAR prediction through machine learning classification algorithms using statistical equivalency for comparative analysis between independent groups with non-subject training dependencies.
OBJECTIVES: To indicate that the multinomial predictive classif
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 15:32 |
| Last Modified: | 11 Apr 2026 12:47 |
| URI: | http://eprints.eai.eu/id/eprint/39723 |
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