Unsupervised Domain Adaptation for Mitigating Sensor Variability and Interspecies Heterogeneity in Animal Activity Recognition

SIMPLE SUMMARY: This study aimed to improve animal activity recognition (AAR) using wearable sensor data, which often faces challenges due to sensor variability and individual variability across species. To address this problem, we adopted unsupervised domain adaptation (UDA) techniques to improve t...

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Detalles Bibliográficos
Autores principales: Ahn, Seong-Ho, Kim, Seeun, Jeong, Dong-Hwa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603736/
https://www.ncbi.nlm.nih.gov/pubmed/37894000
http://dx.doi.org/10.3390/ani13203276

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603736/
https://www.ncbi.nlm.nih.gov/pubmed/37894000
http://dx.doi.org/10.3390/ani13203276

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