HierHAR: Sensor-Based Data-Driven Hierarchical Human Activity Recognition
Abstract
Pervasive computing greatly advances the automatic recognition and understanding of human activities and effectively bridges the gap between the low-level sensor signals and high-level human-centric applications. The inherent complexity of human behavior, however, inevitably poses a huge challenge to the design of a robust activity recognizer, especially in classifying similar activities. In this study, we present a hierarchical framework, named...
Paper Details
Title
HierHAR: Sensor-Based Data-Driven Hierarchical Human Activity Recognition
Published Date
Feb 1, 2021
Journal
Volume
21
Issue
3
Pages
3353 - 3365
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