Sensor-Based Human Activity Recognition Using Adaptive Class Hierarchy

In sensor-based human activity recognition, many methods based on convolutional neural networks (CNNs) have been proposed. In the typical CNN-based activity recognition model, each class is treated independently of others. However, actual activity classes often have hierarchical relationships. It is...

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Autores principales: Kazuma Kondo, Tatsuhito Hasegawa
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/046a63cd506442e79e4b9e3760ba9eab
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