Multi-sensor fusion based on multiple classifier systems for human activity identification
Abstract
Multimodal sensors in healthcare applications have been increasingly researched because it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity sports management, energy expenditure estimation, and postural detection. Recent studies have shown the importance of multi-sensor fusion to achieve robustness, high-performance generalization, provide diversity and tackle challenging issue that maybe difficult with...
Paper Details
Title
Multi-sensor fusion based on multiple classifier systems for human activity identification
Published Date
Sep 9, 2019
Volume
9
Issue
1
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