Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach

YongKyung Oh; Sungil Kim

doi:10.1016/j.inffus.2024.102464

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JOURNAL ARTICLE

Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach

YongKyung Oh Sungil Kim

Year: 2024 Journal: Information Fusion Vol: 110 Pages: 102464-102464 Publisher: Elsevier BV

DOI: 10.1016/j.inffus.2024.102464

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Keywords:

Lifelog Computer science Classifier (UML) Sensor fusion Fusion Activity recognition Artificial intelligence Wearable computer Information fusion Machine learning Modal Data mining Human–computer interaction

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5.30

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0.92

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Citation History

Topics

Context-Aware Activity Recognition Systems

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach

Metrics

Citation History

Topics

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