A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry
Due to the increasing scale of farms, it is increasingly difficult for farmers to monitor their animals in an automated way. Because of this problem, we focused on a sound technique to monitor laying hens. Sound analysis has become an important tool for studying the behaviour, health and welfare of...
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| Format: | Article |
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MDPI AG
2018-09-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/9/2906 |
| _version_ | 1817992578539192320 |
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| author | Xiaodong Du Fengdan Lao Guanghui Teng |
| author_facet | Xiaodong Du Fengdan Lao Guanghui Teng |
| author_sort | Xiaodong Du |
| collection | DOAJ |
| description | Due to the increasing scale of farms, it is increasingly difficult for farmers to monitor their animals in an automated way. Because of this problem, we focused on a sound technique to monitor laying hens. Sound analysis has become an important tool for studying the behaviour, health and welfare of animals in recent years. A surveillance system using microphone arrays of Kinects was developed for automatically monitoring birds’ abnormal vocalisations during the night. Based on the principle of time-difference of arrival (TDOA) of sound source localisation (SSL) method, Kinect sensor direction estimations were very accurate. The system had an accuracy of 74.7% in laboratory tests and 73.6% in small poultry group tests for different area sound recognition. Additionally, flocks produced an average of 40 sounds per bird during feeding time in small group tests. It was found that, on average, each normal chicken produced more than 53 sounds during the daytime (noon to 6:00 p.m.) and less than one sound at night (11:00 p.m.–3:00 a.m.). This system can be used to detect anomalous poultry status at night by monitoring the number of vocalisations and area distributions, which provides a practical and feasible method for the study of animal behaviour and welfare. |
| first_indexed | 2024-04-14T01:28:34Z |
| format | Article |
| id | doaj.art-e6514490fbb04ee996f14eda5fe08815 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:28:34Z |
| publishDate | 2018-09-01 |
| publisher | MDPI AG |
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| series | Sensors |
| spelling | doaj.art-e6514490fbb04ee996f14eda5fe088152022-12-22T02:20:19ZengMDPI AGSensors1424-82202018-09-01189290610.3390/s18092906s18092906A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of PoultryXiaodong Du0Fengdan Lao1Guanghui Teng2College of Water Conservancy & Civil Engineering, China Agricultural University, Beijing 100083, ChinaKey Lab of Agricultural Engineering in Structure and Environment, Ministry of Agriculture, Beijing 100083, ChinaCollege of Water Conservancy & Civil Engineering, China Agricultural University, Beijing 100083, ChinaDue to the increasing scale of farms, it is increasingly difficult for farmers to monitor their animals in an automated way. Because of this problem, we focused on a sound technique to monitor laying hens. Sound analysis has become an important tool for studying the behaviour, health and welfare of animals in recent years. A surveillance system using microphone arrays of Kinects was developed for automatically monitoring birds’ abnormal vocalisations during the night. Based on the principle of time-difference of arrival (TDOA) of sound source localisation (SSL) method, Kinect sensor direction estimations were very accurate. The system had an accuracy of 74.7% in laboratory tests and 73.6% in small poultry group tests for different area sound recognition. Additionally, flocks produced an average of 40 sounds per bird during feeding time in small group tests. It was found that, on average, each normal chicken produced more than 53 sounds during the daytime (noon to 6:00 p.m.) and less than one sound at night (11:00 p.m.–3:00 a.m.). This system can be used to detect anomalous poultry status at night by monitoring the number of vocalisations and area distributions, which provides a practical and feasible method for the study of animal behaviour and welfare.http://www.mdpi.com/1424-8220/18/9/2906sound analysissound source localizationKinectschickenanimal behaviour |
| spellingShingle | Xiaodong Du Fengdan Lao Guanghui Teng A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry Sensors sound analysis sound source localization Kinects chicken animal behaviour |
| title | A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry |
| title_full | A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry |
| title_fullStr | A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry |
| title_full_unstemmed | A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry |
| title_short | A Sound Source Localisation Analytical Method for Monitoring the Abnormal Night Vocalisations of Poultry |
| title_sort | sound source localisation analytical method for monitoring the abnormal night vocalisations of poultry |
| topic | sound analysis sound source localization Kinects chicken animal behaviour |
| url | http://www.mdpi.com/1424-8220/18/9/2906 |
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