Adoption of the activation function fusion approach to identify human activity recognition in a semi-supervised neural network

Hernandez, Netzahualcoyotl and Nugent, Chris and McChesney, Ian and Zhang, Shuai and Favela, Jesus (2019) Adoption of the activation function fusion approach to identify human activity recognition in a semi-supervised neural network. EAI Endorsed Transactions on Pervasive Health and Technology.

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Abstract

INTRODUCTION: Neural networks are a popular type of algorithm for human activity monitoring which can
build intelligent systems from labelled data in an automated fashion. Obtaining accurately labelled data is costly; it requires time and effort, which can be cumbersome because it interrupts the us

Item Type: Article
Date Deposited: 04 Mar 2026 13:18
Last Modified: 12 Apr 2026 01:52
URI: http://eprints.eai.eu/id/eprint/29101

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