| dc.contributor.author | Phan, Thinh | |
| dc.description.abstract | Ornithologist often need to recognize individual birds, but traditional invasive methods, such as capturing, marking, releasing, and recapturing of birds, have limitations. To overcome this, researchers use non-invasive alternatives, such as bird vocalizations. In our study, we used wing flap sounds of three male Zebra Finch birds for individual recognition. We achieved identification accuracies ranging from 55% to 100% by using a combination of Principal Component Analysis-K-Nearest Neighbor (PCA-KNN) and Cross-Correlation method on training data and testing data. PCA-KNN allows for dimensionality reduction and pattern recognition, while the Cross-Correlation method bases data analysis on shifting data elements. Our approach can be applied to other bird species and is becoming more accessible due to technological advancements. Non-invasive methods for bird identification are becoming increasingly popular, and our study demonstrates the potential for using wing flap sounds to recognize individual birds. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU policy 190.6.2 | en_US |
| dc.title | Using wing flap sounds to distinguish individual birds | en_US |
| dc.type | Thesis | en_US |
| dc.date.accessioned | 2024-08-06T19:32:58Z | |
| dc.date.available | 2024-08-06T19:32:58Z | |
| dc.date.issued | 2024 | |
| dc.identifier.uri | https://hdl.handle.net/10365/33911 | |
| dc.subject | Identifying Individual Birds | en_US |
| dc.subject | K Nearest Neighbor | en_US |
| dc.subject | Principal Component Analysis | en_US |
| dc.subject | Wing Flap Acoustic Signature | en_US |
| dc.subject | Wing Flap Sounds | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | en_US |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Electrical and Computer Engineering | en_US |
| ndsu.advisor | Green, Roger | |
