The UEL Research Repository preserves and disseminates open access publications, research data, and theses created by members of the University of East London. It exists as an online publication platform that offers free permanent access to anyone. For more information about the repository and how to deposit your research contact: repository@uel.ac.uk

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Human Interaction and Emerging Technologies (IHIET-FS 2025): Future Systems and Artificial Intelligence Applications
Ahram, T., Arewa, A. and Ghorashi, S. (ed.) 2025. Human Interaction and Emerging Technologies (IHIET-FS 2025): Future Systems and Artificial Intelligence Applications. AHFE International.
Transforming Elderly Care with Vision-Based Hand Gesture Recognition: A Deep Learning Framework
Ghorashi, S. and Islam, R. 2025. Transforming Elderly Care with Vision-Based Hand Gesture Recognition: A Deep Learning Framework. 14th International Conference on Human Interaction and Emerging Technologies: Artificial Intelligence & Future Applications, IHIET-FS 2025, June 10-12, 2025, University of East London, London, United Kingdom.. AHFE International. https://doi.org/10.54941/ahfe1005969
Lightweight Transformer for Robust Human Activity Recognition Using Smartphone IMU Data
Shahverdi, H. and Ghorashi, S. 2025. Lightweight Transformer for Robust Human Activity Recognition Using Smartphone IMU Data. 14th International Conference on Human Interaction and Emerging Technologies: Artificial Intelligence & Future Applications, IHIET-FS 2025, June 10-12, 2025, University of East London, London, United Kingdom.. AHFE International. https://doi.org/10.54941/ahfe1005972
Free time and in school physical activity profiles of children aged 11–18 in the United Kingdom: a latent class analysis
Buscombe, R., Watts, P., Jafar Junior, M., Dauenhauer, B., Ha, T. and Dryer, G. 2025. Free time and in school physical activity profiles of children aged 11–18 in the United Kingdom: a latent class analysis. Journal of Public Health. p. In press. https://doi.org/10.1007/s10389-025-02530-0
Vision Transformer Based Image Captioning for the Visually Impaired
Qazi, N., Dewaji, I. and Khan, N. 2025. Vision Transformer Based Image Captioning for the Visually Impaired. 14th International Conference on Human Interaction and Emerging Technologies: Artificial Intelligence & Future Applications, IHIET-FS 2025, June 10-12, 2025, University of East London, London, United Kingdom.. AHFE International. https://doi.org/10.54941/ahfe1005964