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Drowsiness detection with neural network-based multimodal fusion for human digital twin |
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| Author: | Pihlajaviita, Katri1 |
| Organizations: |
1University of Oulu, Faculty of Information Technology and Electrical Engineering, Computer Science |
| Format: | ebook |
| Version: | published version |
| Access: | restricted |
| Theses with restricted access are only available for reading on the e-thesis workstations. | |
| Pages: | 120 |
| Persistent link: | http://urn.fi/URN:NBN:fi:oulu-202306302804 |
| Language: | English |
| Published: |
Oulu : K. Pihlajaviita,
2023
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| Publish Date: | 2023-06-30 |
| Thesis type: | Master's thesis (tech) |
| Tutor: |
Röning, Juha |
| Reviewer: |
Röning, Juha Suutala, Jaakko |
| Subjects: | |
| Copyright information: |
© Katri Pihlajaviita, 2023. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited. |