Deep learning-based animal activity recognition with wearable sensors: Overview, challenges, and future directions
Animal behavior, as one of the most crucial indicators of animal health and welfare, provides
rich insights into animal physical and mental states. Automated animal activity recognition …
rich insights into animal physical and mental states. Automated animal activity recognition …
[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 …
rhythm and behavior are still under-described and, therefore, poorly understood. This lack of …
A deep learning approach for detecting and classifying cat activity to monitor and improve cat's well-being using accelerometer, gyroscope, and magnetometer
Activity detection of pets using sensor technology and artificial intelligence (AI) approaches
has gained momentum in recent years. These technologies have revamped up the …
has gained momentum in recent years. These technologies have revamped up the …
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 …
wearable sensor data, which often faces challenges due to sensor variability and individual …
Transformer-based Dog Behavior Classification with Motion Sensors
B Or - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
This article deals with classifying dog behavior using motion sensors, leveraging a
transformer-based deep neural network (DNN) model. Understanding dog behavior is …
transformer-based deep neural network (DNN) model. Understanding dog behavior is …
[HTML][HTML] Automated Pipeline for Robust Cat Activity Detection Based on Deep Learning and Wearable Sensor Data
The health, safety, and well-being of household pets such as cats has become a challenging
task in previous years. To estimate a cat's behavior, objective observations of both the …
task in previous years. To estimate a cat's behavior, objective observations of both the …
Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control …
Computer numerical control (CNC) and machine center (MCT) machines are mechanical
devices that manipulate different tools using computer programming as inputs. Predicting …
devices that manipulate different tools using computer programming as inputs. Predicting …
Current Research in Future Information and Communication Engineering 2022
The digital revolution has transformed the way we communicate, access information, and
interact with technology [1]. With rapid advancements in artificial intelligence (AI), the …
interact with technology [1]. With rapid advancements in artificial intelligence (AI), the …
KitBit: An Instrumented Collar for Indoor Pets
W Goodall, F Wallace, M Jackson - Proceedings of the Tenth …, 2023 - dl.acm.org
This paper presents KitBit, a wearable activity tracker for cats, aiming to improve
communication between domestic cats and their owners by monitoring feline behavior. We …
communication between domestic cats and their owners by monitoring feline behavior. We …
Recognition of Dog Motion States: Ensemble vs Deep Learning Models
G Davoulos, I Lalakou… - 2024 15th International …, 2024 - ieeexplore.ieee.org
Dog activities recognition, especially dog motion status recognition, is an active research
area. Although several machine learning and deep learning approaches have been used for …
area. Although several machine learning and deep learning approaches have been used for …