Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Author:
Funder
King Saud University
Natural Sciences and Engineering Research Council of Canada
Publisher
Elsevier BV
Subject
Hardware and Architecture,Information Systems,Signal Processing,Software
Reference47 articles.
1. A review of iot-enabled mobile healthcare: Technologies, challenges, and future trends;Yang;IEEE Internet Things J.,2022
2. Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions;Nweke;Inf. Fusion,2019
3. Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors;Gjoreski;Inf. Fusion,2020
4. Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition;Zheng;Inf. Fusion,2022
5. An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure;Qi;Inf. Fusion,2020
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