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A framework for semi-supervised adaptive learning for activity recognition in healthcare applications

Gupta, Prankit; Caleb-Solly, Praminda

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Authors

Prankit Gupta

Praminda Caleb-Solly



Abstract

With the growing popularity of the Internet of Things and connected home products, potential healthcare applications in a smart-home context for assisted living are becoming increasingly apparent. However, challenges in performing real-time human activity recognition (HAR) from unlabelled data and adapting to changing user health remain a major barrier to the practicality of such applications. This paper aims to address these issues by proposing a semi-supervised adaptive HAR system which combines offline and online recognition techniques to provide intelligent real-time support for frequently repeated user activities. The viability of this approach is evaluated by pilot testing it on data from the Aruba CASAS dataset, and additional pilot data collected in the Bristol Robotics Lab’s Assisted Living Studio. The results show that 71% of activity instances were discovered, with an F1-score of 0.93 for the repeating “Meal_Prep” activities. Furthermore, real-time recognition on the collected pilot data occurred near the beginning of the activity 64% of the time and at the halfway point in the activity 96% of the time.

Citation

Gupta, P., & Caleb-Solly, P. (2018). A framework for semi-supervised adaptive learning for activity recognition in healthcare applications. In Engineering Applications of Neural Networks (3-15). https://doi.org/10.1007/978-3-319-98204-5_1

Conference Name 19th International Conference, EANN 2018
Conference Location Bristol, UK
Start Date Sep 3, 2018
End Date Sep 5, 2018
Acceptance Date Jun 4, 2018
Online Publication Date Jul 27, 2018
Publication Date 2018
Deposit Date Jan 22, 2020
Publicly Available Date Apr 20, 2021
Publisher Springer Publishing Company
Volume 893
Pages 3-15
Series Title Communications in Computer and Information Science
Series ISSN 1865-0929
Book Title Engineering Applications of Neural Networks
ISBN 9783319982038
DOI https://doi.org/10.1007/978-3-319-98204-5_1
Keywords Activity recognition, Smart-home, Healthcare
Public URL https://uwe-repository.worktribe.com/output/4763358

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