Simulation-based validation of activity logger data for animal behavior studies
Abstract Bio-loggers are widely used for studying the movement and behavior of animals. However, some sensors provide more data than is practical to store given experiment or bio-logger design constraints. One approach for overcoming this limitation is to utilize data collection strategies, such as...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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BMC
2021-09-01
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| Series: | Animal Biotelemetry |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40317-021-00254-y |
| _version_ | 1818716366468808704 |
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| author | Jiawei Chen Geoffrey Brown Adam Fudickar |
| author_facet | Jiawei Chen Geoffrey Brown Adam Fudickar |
| author_sort | Jiawei Chen |
| collection | DOAJ |
| description | Abstract Bio-loggers are widely used for studying the movement and behavior of animals. However, some sensors provide more data than is practical to store given experiment or bio-logger design constraints. One approach for overcoming this limitation is to utilize data collection strategies, such as non-continuous recording or data summarization that may record data more efficiently, but need to be validated for correctness. In this paper we address two fundamental questions—how can researchers determine suitable parameters and behaviors for bio-logger sensors, and how do they validate their choices? We present a methodology that uses software-based simulation of bio-loggers to validate various data collection strategies using recorded data and synchronized, annotated video. The use of simulation allows for fast and repeatable tests, which facilitates the validation of data collection methods as well as the configuration of bio-loggers in preparation for experiments. We demonstrate this methodology using accelerometer loggers for recording the activity of the small songbird Junco hyemalis hyemalis. |
| first_indexed | 2024-12-17T19:18:07Z |
| format | Article |
| id | doaj.art-cbfce74261ab42df8296292a88d6532c |
| institution | Directory Open Access Journal |
| issn | 2050-3385 |
| language | English |
| last_indexed | 2024-12-17T19:18:07Z |
| publishDate | 2021-09-01 |
| publisher | BMC |
| record_format | Article |
| series | Animal Biotelemetry |
| spelling | doaj.art-cbfce74261ab42df8296292a88d6532c2022-12-21T21:35:42ZengBMCAnimal Biotelemetry2050-33852021-09-019111510.1186/s40317-021-00254-ySimulation-based validation of activity logger data for animal behavior studiesJiawei Chen0Geoffrey Brown1Adam Fudickar2School of Informatics, Computing and Engineering, Indiana UniversitySchool of Informatics, Computing and Engineering, Indiana UniversityEnvironmental Resilience Institute, Department of Biology, Indiana UniversityAbstract Bio-loggers are widely used for studying the movement and behavior of animals. However, some sensors provide more data than is practical to store given experiment or bio-logger design constraints. One approach for overcoming this limitation is to utilize data collection strategies, such as non-continuous recording or data summarization that may record data more efficiently, but need to be validated for correctness. In this paper we address two fundamental questions—how can researchers determine suitable parameters and behaviors for bio-logger sensors, and how do they validate their choices? We present a methodology that uses software-based simulation of bio-loggers to validate various data collection strategies using recorded data and synchronized, annotated video. The use of simulation allows for fast and repeatable tests, which facilitates the validation of data collection methods as well as the configuration of bio-loggers in preparation for experiments. We demonstrate this methodology using accelerometer loggers for recording the activity of the small songbird Junco hyemalis hyemalis.https://doi.org/10.1186/s40317-021-00254-ySimulationValidationActivityDetectionLoggerVideo |
| spellingShingle | Jiawei Chen Geoffrey Brown Adam Fudickar Simulation-based validation of activity logger data for animal behavior studies Animal Biotelemetry Simulation Validation Activity Detection Logger Video |
| title | Simulation-based validation of activity logger data for animal behavior studies |
| title_full | Simulation-based validation of activity logger data for animal behavior studies |
| title_fullStr | Simulation-based validation of activity logger data for animal behavior studies |
| title_full_unstemmed | Simulation-based validation of activity logger data for animal behavior studies |
| title_short | Simulation-based validation of activity logger data for animal behavior studies |
| title_sort | simulation based validation of activity logger data for animal behavior studies |
| topic | Simulation Validation Activity Detection Logger Video |
| url | https://doi.org/10.1186/s40317-021-00254-y |
| work_keys_str_mv | AT jiaweichen simulationbasedvalidationofactivityloggerdataforanimalbehaviorstudies AT geoffreybrown simulationbasedvalidationofactivityloggerdataforanimalbehaviorstudies AT adamfudickar simulationbasedvalidationofactivityloggerdataforanimalbehaviorstudies |