Open access Journal SINTA 1
Human activity recognition method using joint deep learning and acceleration signal
IAES International Journal of Artificial Intelligence · Vol. 12 No. 3 (2023) · pp. 1459–1467
- ISSN
- 2252-8938, 2089-4872
- Published
- 2023-09-01
- Publisher
- Institute of Advanced Engineering and Science
- Language
- eng
Abstract
Many studies have been conducted on human activity recognition (HAR) in the last decade. Accordingly, deep learning algorithms have been given more attention in terms of classification of human daily activities. Deep neural networks (DNNs) compute and extract complex features on voluminous data through some hidden layers that require large memory and powerful graphics processing units (GPUs). So, this study proposes a new joint learning (JL) approach to classify human activities using inertial sensors. To this end, a large complex donor model based on a convolutional neural network (CNN) is used to transfer knowledge to a smaller model based on CNN referred to as the acceptor model. The acceptor model can be deployed on mobile devices and low-power hardware due to decreased computing costs and memory consumption. The wireless sensor data mining (WISDM) dataset is used to test the proposed model. According to the experimental results, the HAR system based on the JL algorithm outperforms than other methods.
Keywords
Collaboration network of the authors
35 authors · 93 co-authorship links · 39 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Vignan's Foundation for Science, Technology & Research
- Soonchunhyang University
- Hindustan Institute of Technology and Science
- Higher Colleges of Technology
- Al-Mustaqbal University
- Beirut Arab University
- University of Technology Malaysia
- Other organisations
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Yunyoung Nam | Soonchunhyang University | 5 |
| Lakshmana Kumar Ramasamy | Hindustan Institute of Technology and Science | 4 |
| Firoz Khan | Higher Colleges of Technology | 4 |
| Maytham N. Meqdad | Al-Mustaqbal University | 4 |
| R. Lakshmana Kumar | Hindustan Institute of Technology and Science | 2 |
| Fardin Abdali-Mohammadi | Affiliation unknown | 2 |
| A. Saravanan | Affiliation unknown | 1 |
| S. Sathya Bama | Affiliation unknown | 1 |
| Mohammed Zuhair Al-Taie | University of Technology Malaysia | 1 |
| Joel Pinho Lucas | Affiliation unknown | 1 |
| Jinesh Ahamed | Higher Colleges of Technology | 1 |
| P. Chandana | Vignan's Foundation for Science, Technology & Research | 1 |
| G S Pradeep Ghantasala | Affiliation unknown | 1 |
| J. R. V. Jeny | Vignan's Foundation for Science, Technology & Research | 1 |
| Kaushik Sekaran | Vignan's Foundation for Science, Technology & Research | 1 |
| N. Deepika | Vignan's Foundation for Science, Technology & Research | 1 |
| Venkatesan Rajinikanth | St. Joseph’s College of Engineering | 1 |
| Jamin Koo | Soonchunhyang University | 1 |
| Byeong-Gwon Kang | Soonchunhyang University | 1 |
| Saif O. Husain | Iraqi University | 1 |
| Alyaa Mohammed Jawad | Al-Mustaqbal University | 1 |
| Ahlam R. Khekan | University of Information Technology and Communications | 1 |
| Ganesh Chandrasekaran | Sri Eshwar College of Engineering | 1 |
| M. Kalpana Chowdary | Affiliation unknown | 1 |
| Jyothi Chinna Babu | Affiliation unknown | 1 |
| Ajmeera Kiran | Affiliation unknown | 1 |
| Kotthuru Anil Kumar | Affiliation unknown | 1 |
| Yara Harb | Affiliation unknown | 1 |
| Wissam Baaklini | Affiliation unknown | 1 |
| Nadine Abbas | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.