Assistive Technology for the Visually Impaired: Optimizing Frame Rate (Freshness) to Improve the Performance of Real-Time Objects Detection Application
Conference Proceeding
Barakat, B., Steponenaite, A., Lall, G. S., Arshad, K., Wassell, I. J., & Keates, S. (2020)
Assistive Technology for the Visually Impaired: Optimizing Frame Rate (Freshness) to Improve the Performance of Real-Time Objects Detection Application. In Universal Access in Human-Computer Interaction. Applications and Practice: Proceedings, Part II (479-492). https://doi.org/10.1007/978-3-030-49108-6_34
It has been 100+ years since the world’s first commercial radio station started. This century witnessed several astonishing inventions (e.g. the computer, internet and mobiles...
Phonemes: An Explanatory Study Applied to Identify a Speaker
Conference Proceeding
Kinkiri, S., Barakat, B., & Keates, S. (2020)
Phonemes: An Explanatory Study Applied to Identify a Speaker. In Machine Learning, Image Processing, Network Security and Data Sciences. , (58-68). https://doi.org/10.1007/978-981-15-6318-8_6
Speaker Identification (SI) is a process of identifying a speaker automatically via a machine using the speaker’s voice. In SI, one speaker’s voice is compared with n- number ...
How to Measure the Average and Peak Age of Information in Real Networks?
Conference Proceeding
Barakat, B., Yassine, H., Keates, S., Wassell, I., & Arshad, K. (2019)
How to Measure the Average and Peak Age of Information in Real Networks?
The Age of information (AoI) was proposed in the literature to quantify the freshness of information. The majority of the work done in this area has theoretically evaluated Ao...
Adaptive Status Arrivals Policy (ASAP) Delivering Fresh Information (Minimise Peak Age) in Real World Scenarios
Conference Proceeding
Barakat, B., Keates, S., Wassell, I., & Arshad, K. (2019)
Adaptive Status Arrivals Policy (ASAP) Delivering Fresh Information (Minimise Peak Age) in Real World Scenarios. In Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments. , (419-430). https://doi.org/10.1007/978-3-030-23563-5_33
Real-time systems make their decisions based on information communicated from sensors. Consequently, delivering information in a timely manner is critical to such systems. In ...
Universal Access: The Challenges Ahead
Conference Proceeding
Keates, S. (2019)
Universal Access: The Challenges Ahead. In Universal Access in Human-Computer Interaction. Theory, Methods and Tools (100-112). https://doi.org/10.1007/978-3-030-23560-4_8
It is approaching 20 years since the first issue of the International Journal on Universal Access was published and also that the first International Conference on Universal A...
Deriving Machine to Machine (M2M) Traffic Model from Communication Model
Conference Proceeding
Barakat, B., Keates, S., Arshad, K., & Wassell, I. J. (2019)
Deriving Machine to Machine (M2M) Traffic Model from Communication Model. In The Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT 2018), (27-31). https://doi.org/10.1109/ISIICT.2018.8613727
The typical traffic models proposed in literature can be considered as heuristic models since they only reflect the stochastic characteristic of the generated traffic. In this...
The benefits of contextual information for speech recognition systems
Conference Proceeding
Kinch, M. W., Melis, W. J., & Keates, S. (2018)
The benefits of contextual information for speech recognition systems. In The 10th Computer Science and Electronic Engineering Conference (CEEC)https://doi.org/10.1109/CEEC.2018.8674204
This paper demonstrates the significance of using contextual information in machine learning and speech recognition. While the benefits of contextual information in human comm...
When Universal Access does not go to plan: Lessons to be learned
Conference Proceeding
Keates, S. (2018)
When Universal Access does not go to plan: Lessons to be learned. In M. Antona, & C. Stephanidis (Eds.), 12th International Conference on Universal Access in Human-Computer Interaction (UAHCI 2018), Proceedings, Part I, 75-90. https://doi.org/10.1007/978-3-319-92049-8_6
While the theory of designing for Universal Access is increasingly understood, there remain persistent issues over realising products and systems that meet the goal of being a...
Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information
Conference Proceeding
Kinch, M. W., Melis, W. J., & Keates, S. (2017)
Reviewing the current state of machine learning for artificial intelligence with regards to the use of contextual information. In The Second Medway Engineering Conference on Systems: Efficiency, Sustainability and Modelling
This paper will consider the current state of Machine Learning for Artificial Intelligence, more specifically for applications, such as: Speech Recognition, Game Playing and I...
Machine learning for voice recognition
Conference Proceeding
Kinkiri, S., Melis, W. J., & Keates, S. (2017)
Machine learning for voice recognition. In The Second Medway Engineering Conference on Systems: Efficiency, Sustainability and Modelling
Verbal communication is very important to us humans, but using thisperforming verbal communication to communicateion with machines still faces particular challenges. Therefore...