Less is more: on-board lossy compression of accelerometer data increases biologging capacity ...
GPS-tracking devices have been used in combination with a wide range of additional sensors to study animal behaviour, physiology and interaction with their environment. Tri-axial accelerometers allow researchers to remotely infer the behaviour of individuals, at all places and times. Collection of a...
| Main Authors: | , , , |
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| Format: | Dataset |
| Language: | English |
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Dryad
2019
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.6djh9w0x9 https://datadryad.org/stash/dataset/doi:10.5061/dryad.6djh9w0x9 |
| Summary: | GPS-tracking devices have been used in combination with a wide range of additional sensors to study animal behaviour, physiology and interaction with their environment. Tri-axial accelerometers allow researchers to remotely infer the behaviour of individuals, at all places and times. Collection of accelerometer data is relatively cheap in terms of energy usage, but the amount or raw data collected generally requires much storage space and is particularly demanding in terms of energy needed for data transmission. Here we propose compressing the raw ACC data into summary statistics within the tracking device (before transmission) to reduce data size, as a means to overcome limitations in storage and energy capacity. We explored this type of lossy data compression in the accelerometer data of tagged Bewick’s swans (Cygnus columbianus bewickii) collected in spring 2017. By using software settings in which bouts of 2 s of both raw ACC data and summary statistics were collected in parallel but with different bout ... |
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