All Outputs (5)

EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning (2024)
Journal Article
Miles, G., Smith, M., Zook, N., & Zhang, W. (2024). EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning. Computational and Structural Biotechnology Journal, 24, 264-280. https://doi.org/10.1016/j.csbj.2024.03.014

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
Olisah, C. C., Trewhella, B., Li, B., Smith, M. L., Winstone, B., Charles Whitfield, E., …Duncalfe, H. (2024). Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment. Engineering Applications of Artificial Intelligence, 132, Article 107945. https://doi.org/10.1016/j.engappai.2024.107945

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.

Vision detection for early signs of DD lesions and lameness within dairy cattle (2023)
Conference Proceeding
Shahbaz, A., Zhang, W., & Smith, M. (in press). Vision detection for early signs of DD lesions and lameness within dairy cattle.

Digital dermatitis stands as a primary cause of lameness in dairy cows, significantly impacting various facets of productivity. This paper proposes a two-stage vision system aimed at early detection of digital dermatitis (DD) lesions, ultimately prev... Read More about Vision detection for early signs of DD lesions and lameness within dairy cattle.

Real-time livestock activity monitoring via fine-tuned faster R-CNN for multiclass cattle behaviour detection (2023)
Conference Proceeding
Ahmad, M., Zhang, W., Smith, M., Brilot, B., & Bell, M. (2023). Real-time livestock activity monitoring via fine-tuned faster R-CNN for multiclass cattle behaviour detection. In 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON). https://doi.org/10.1109/uemcon59035.2023.10316066

Automated cattle activity detection plays a pivotal role in modern livestock management, significantly impacting animal welfare and operational efficiency. This paper introduces an automated approach for cattle activity detection using advanced deep... Read More about Real-time livestock activity monitoring via fine-tuned faster R-CNN for multiclass cattle behaviour detection.

Predicting multiple-target search performance using eye movements and individual differences (2023)
Presentation / Conference
Birch-Hurst, K., Jones, A. M., Ong, A., Stoker, K. M., Smith, M. L., Zhang, W., & Clark, K. (2023, August). Predicting multiple-target search performance using eye movements and individual differences. Poster presented at European Conference on Visual Perception, Paphos, Cyprus

Accuracy in visual search – the process of detecting a target amongst distractors – is critical for life-saving career searches such as radiology and airport security. These searches often contain multiple targets (e.g., a tumour and a fracture) and... Read More about Predicting multiple-target search performance using eye movements and individual differences.