Give the machine a hand: A Boolean time-based decision-tree template for rapidly finding animal behaviours in multisensor data

• Autores: Wilson, Rory P.; Holton, Mark; Di Virgilio, Agustina Soledad; Williams, Hannah; Shepard, Emily L. C.; Lambertucci, Sergio Agustin; Quintana, Flavio Roberto; Sala, Juan Emilio; Balaji, Bharathan; Lee, Eun Sun; Srivastava, Mani; Scantlebury, D. Michael; Duarte, Carlos M.
• Año de publicación: 2018
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: ACCELEROMETER; BEHAVIOUR; BEHAVIOUR IDENTIFICATION; BIOINFORMATICS; SOFTWARE
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

The development of multisensor animal-attached tags, recording data at high frequencies, has enormous potential in allowing us to define animal behaviour. The high volumes of data, are pushing us towards machine-learning as a powerful option for distilling out behaviours. However, with increasing parallel lines of data, systems become more likely to become processor limited and thereby take appreciable amounts of time to resolve behaviours. We suggest a Boolean approach whereby critical changes in recorded parameters are used as sequential templates with defined flexibility (in both time and degree) to determine individual behavioural elements within a behavioural sequence that, together, makes up a single, defined behaviour. We tested this approach, and compared it to a suite of other behavioural identification methods, on a number of behaviours from tag-equipped animals; sheep grazing, penguins walking, cheetah stalking prey and condors thermalling. Overall behaviour recognition using our new approach was better than most other methods due to; (1) its ability to deal with behavioural variation and (2) the speed with which the task was completed because extraneous data are avoided in the process. We suggest that this approach is a promising way forward in an increasingly data-rich environment and that workers sharing algorithms can provide a powerful library for the benefit of all involved in such work.
Fil: Wilson, Rory P.. Swansea University; Reino Unido
Fil: Holton, Mark. Swansea University; Reino Unido
Fil: Di Virgilio, Agustina Soledad. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina
Fil: Williams, Hannah. Swansea University; Reino Unido
Fil: Shepard, Emily L. C.. Swansea University; Reino Unido
Fil: Lambertucci, Sergio Agustin. Universidad Nacional del Comahue. Centro Regional Universitario Bariloche; Argentina
Fil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina
Fil: Sala, Juan Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina
Fil: Balaji, Bharathan. University of California at Los Angeles; Estados Unidos
Fil: Lee, Eun Sun. University of California at Los Angeles; Estados Unidos
Fil: Srivastava, Mani. University of California at Los Angeles; Estados Unidos
Fil: Scantlebury, D. Michael. The Queens University of Belfast; Irlanda
Fil: Duarte, Carlos M.. King Abdullah University Of Science And Technology;