Human Activity Recognition from Multiple Sensors Data Using Multi-fusion Representations and CNNs
Author:
Affiliation:
1. Department of Informatics, University of Oslo, Oslo, Norway
2. Simula Metropolitan Center for Digitalization and Kristiania University College, Oslo, Norway
3. Department of Informatics and RITMO, University of Oslo, Oslo, Norway
Abstract
Funder
Vulnerability in the Robot Society
The Research Council of Norway
Multimodal Elderly Care systems
Centres of Excellence scheme
INTROducing Mental health through Adaptive Technology
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture
Link
https://dl.acm.org/doi/pdf/10.1145/3377882
Reference62 articles.
1. HANDY: A Benchmark Dataset for Context-Awareness via Wrist-Worn Motion Sensors
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3. Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification
4. On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition
5. A tutorial on human activity recognition using body-worn inertial sensors
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