Deep learning empowered wearable-based behavior recognition for search and rescue dogs

P Kasnesis, V Doulgerakis, D Uzunidis, DG Kogias… - Sensors, 2022 - mdpi.com
Search and Rescue (SaR) dogs are important assets in the hands of first responders, as
they have the ability to locate the victim even in cases where the vision and or the sound is …

Dog–owner relationship, owner interpretations and dog personality are connected with the emotional reactivity of dogs

S Somppi, H Törnqvist, A Koskela, A Vehkaoja, K Tiira… - Animals, 2022 - mdpi.com
Simple Summary The relationship between owner and the dog affects the dog's attachment
behaviors and stress coping. In turn, the quality of the relationship may affect owner's …

Dog behavior recognition based on multimodal data from a camera and wearable device

J Kim, N Moon - Applied sciences, 2022 - mdpi.com
Although various studies on monitoring dog behavior have been conducted, methods that
can minimize or compensate data noise are required. This paper proposes multimodal data …

Machine learning based canine posture estimation using inertial data

M Marcato, S Tedesco, C O'Mahony, B O'Flynn… - Plos one, 2023 - journals.plos.org
The aim of this study was to design a new canine posture estimation system specifically for
working dogs. The system was composed of Inertial Measurement Units (IMUs) that are …

The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Cats (Felis catus): A Validation Study

M Smit, SJ Ikurior, RA Corner-Thomas, CJ Andrews… - Sensors, 2023 - mdpi.com
Animal behaviour can be an indicator of health and welfare. Monitoring behaviour through
visual observation is labour-intensive and there is a risk of missing infrequent behaviours …

A benchmark for computational analysis of animal behavior, using animal-borne tags

B Hoffman, M Cusimano, V Baglione… - arXiv preprint arXiv …, 2023 - arxiv.org
Animal-borne sensors ('bio-loggers') can record a suite of kinematic and environmental data,
which can elucidate animal ecophysiology and improve conservation efforts. Machine …

Cross-modality interaction network for equine activity recognition using imbalanced multi-modal data

A Mao, E Huang, H Gan, RSV Parkes, W Xu, K Liu - Sensors, 2021 - mdpi.com
With the recent advances in deep learning, wearable sensors have increasingly been used
in automated animal activity recognition. However, there are two major challenges in …

[HTML][HTML] Accelerometers Contribution to the Knowledge of Domestic Cats'(Felis catus) Behavior: A Comprehensive Review

SP Garcia, A Chebly - Applied Animal Behaviour Science, 2024 - Elsevier
Even though cats inhabit a large number of our homes, their activity patterns, biological
rhythm and behavior are still under-described and, therefore, poorly understood. This lack of …

[HTML][HTML] The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Dogs (Canis familiaris): A Validation Study

C Redmond, M Smit, I Draganova, R Corner-Thomas… - Sensors, 2024 - mdpi.com
Assessing the behaviour and physical attributes of domesticated dogs is critical for
predicting the suitability of animals for companionship or specific roles such as hunting …

A deep learning approach for detecting and classifying cat activity to monitor and improve cat's well-being using accelerometer, gyroscope, and magnetometer

A Hussain, S Ali, MI Joo, HC Kim - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Activity detection of pets using sensor technology and artificial intelligence (AI) approaches
has gained momentum in recent years. These technologies have revamped up the …