All Outputs (7)

Universal bovine identification via depth data and deep metric learning (2024)
Journal Article

This paper proposes and evaluates, for the first time, a top-down (dorsal view), depth-only deep learning system for accurately identifying individual cattle and provides associated code, datasets, and training weights for immediate reproducibility.... Read More about Universal bovine identification via depth data and deep metric learning.

IYOLO-FAM: Improved YOLOv8 with feature attention mechanism for cow behaviour detection (2024)
Presentation / Conference Contribution

We introduced IYOLO-FAM (Improved YOLOv8 with Feature Attention Mechanism) for detecting cow behaviours. By leveraging the robust YOLOv8 architecture improved with Feature Attention Mechanisms (FAM), Squeeze-and-Excitation (SE) blocks and data augmen... Read More about IYOLO-FAM: Improved YOLOv8 with feature attention mechanism for cow behaviour detection.

Precision single-camera eye tracking towards cognitive health assessment (2024)
Presentation / Conference Contribution

Eye tracking has been increasingly recognised as a valuable
tool for assessing cognitive health. However, many existing eye tracking systems are often expensive, imprecise, and inconvenient, which limits their accessibility and effectiveness in clin... Read More about Precision single-camera eye tracking towards cognitive health assessment.

Machine vision and deep learning for robotic harvesting of shiitake mushrooms (2024)
Presentation / Conference Contribution

There is a substantial requirement for the modernisation of our agricultural practices. Current methods can be susceptible to labour shortages, damaging to the environment, and inefficient; and these factors can lead to food wastage so threatening fo... Read More about Machine vision and deep learning for robotic harvesting of shiitake mushrooms.

3D Machine vision and deep learning for enabling automated and sustainable assistive physiotherapy (2024)
Presentation / Conference Contribution

The significant beneficial effects of physiotherapy as a treatment for a wide range of medical conditions, is well known. However, the challenge for already stressed healthcare systems to provide effective physiotherapy to an aging population, that h... Read More about 3D Machine vision and deep learning for enabling automated and sustainable assistive physiotherapy.

EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning (2024)
Journal Article

Alzheimer's Disease is the most prevalent neurodegenerative disease, and is a leading cause of disability among the elderly. Eye movement behaviour demonstrates potential as a non-invasive biomarker for Alzheimer's Disease, with changes detectable at... Read More about EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning.

Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment (2024)
Journal Article

Fruit ripeness estimation models have for decades depended on spectral index features or colour-based features, such as mean, standard deviation, skewness, colour moments, and/or histograms for learning traits of fruit ripeness. Recently, few studies... Read More about Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment.