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A study on diffusion modelling for sensor-based human activity recognition
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Shao, Shuai and Sanchez, Victor (2023) A study on diffusion modelling for sensor-based human activity recognition. In: 11th International Workshop on Biometrics and Forensics (IWBF2023), Barcelona, Spain, 19-20 Apr 2023. Published in: 2023 11th International Workshop on Biometrics and Forensics (IWBF) ISBN 9798350336078. doi:10.1109/IWBF57495.2023.10157482
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Official URL: https://doi.org/ 10.1109/IWBF57495.2023.10157482
Abstract
Human activity recognition (HAR) is a core research topic in mobile and wearable computing, and has been applied in many applications including biometrics, health monitoring and sports coaching. In recent years, researchers have focused more attention on sensor-based HAR due to the popularity of sensor devices. However, sensor-based HAR faces the challenge of limited data size caused by the high cost of data collection and labelling work, resulting in low performance for HAR tasks. Data transformation and generative adversarial network (GAN) have been proposed as data augmentation approaches to enrich sensor data, thereby addressing the problem of data size limitations. In this paper, we studied the effectiveness of diffusion-based gener- ative models for generating synthetic sensor data as compared to the other data augmentation approaches in sensor-based HAR. In addition, UNet has been redesigned in order to improve the efficiency and practicality of diffusion modelling. Experiments on two public datasets showed the performance of diffusion modelling compared with different data augmentation methods, indicating the feasibility of synthetic sensor data generated using diffusion modelling.
Item Type: | Conference Item (Paper) | ||||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||
Library of Congress Subject Headings (LCSH): | Human activity recognition , Human-computer interaction, Ambient intelligence, Intelligent sensors | ||||||||
Journal or Publication Title: | 2023 11th International Workshop on Biometrics and Forensics (IWBF) | ||||||||
Publisher: | IEEE | ||||||||
ISBN: | 9798350336078 | ||||||||
Official Date: | 26 June 2023 | ||||||||
Dates: |
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DOI: | 10.1109/IWBF57495.2023.10157482 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Conference Paper Type: | Paper | ||||||||
Title of Event: | 11th International Workshop on Biometrics and Forensics (IWBF2023) | ||||||||
Type of Event: | Conference | ||||||||
Location of Event: | Barcelona, Spain | ||||||||
Date(s) of Event: | 19-20 Apr 2023 | ||||||||
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