Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition
Article
Article Title | Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognition |
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ERA Journal ID | 5039 |
Article Category | Article |
Authors | Diykh, Mohammed, Abdulla, Shahab, Deo, Ravinesh C, Siuly, Siuly and Ali, Mumtaz |
Journal Title | Computer Methods and Programs in Biomedicine |
Journal Citation | 229, pp. 1-11 |
Article Number | 107305 |
Number of Pages | 11 |
Year | 2023 |
Publisher | Elsevier |
Place of Publication | Ireland |
ISSN | 0169-2607 |
1872-7565 | |
Digital Object Identifier (DOI) | https://doi.org/https://doi.org/10.1016/j.cmpb.2022.107305 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S0169260722006861 |
Abstract | Background: With the rapid development of technology, human activity recognition (HAR) from sensor data has become a key element for many real-world applications, such as healthcare, disease diagnosis and smart home systems. Although there have been several studies conducted on HAR, traditional methods remain inadequate in balancing efficiency, accuracy and speed. Moreover, existing studies have not identified a solution to managing imbalanced data in different activities groups of HAR, although that is major issue in determining satisfactory performance. |
Keywords | Human activity recognition, Hierarchical dispersion entropy, AdaB_ANN, JAD |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 461199. Machine learning not elsewhere classified |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | University of Thi-Qar, Iraq |
Al-Ayen University, Iraq | |
UniSQ College | |
School of Mathematics, Physics and Computing | |
Victoria University |
https://research.usq.edu.au/item/w3883/developing-a-novel-hybrid-method-based-on-dispersion-entropy-and-adaptive-boosting-algorithm-for-human-activity-recognition
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