Outputs (47)

A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life (2019)
Journal Article
Abdur Rahman, M., Rashid, M. M., Le Kernec, J., Philippe, B., Barnes, S. J., Fioranelli, F., Yang, S., Romain, O., Abbasi, Q. H., Loukas, G., & Imran, M. (2019). A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life. Sensors, 19(23), Article 5258. https://doi.org/10.3390/s19235258

Once diagnosed with cancer, a patient goes through a series of diagnosis and tests, which are referred to as “after cancer treatment”. Due to the nature of the treatment and side effects, maintaining quality of life (QoL) in the home environment is a... Read More about A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life.

Radar sensing for healthcare: Associate Editor Francesco Fioranelli on the applications of radar in monitoring vital signs and recognising human activity patterns (2019)
Journal Article
Fioranelli, D. F., Shah, D. S. A., Li1, H., Shrestha, A., Yang, D. S., & Kernec, D. J. L. (2019). Radar sensing for healthcare: Associate Editor Francesco Fioranelli on the applications of radar in monitoring vital signs and recognising human activity patterns. Electronics Letters, 55(19), 1022-1024. https://doi.org/10.1049/el.2019.2378

Although traditionally associated with defence and security domains, radar sensing has attracted significant interest in recent years in healthcare applications. These include the monitoring of vital signs such as respiration, heartbeat, and blood pr... Read More about Radar sensing for healthcare: Associate Editor Francesco Fioranelli on the applications of radar in monitoring vital signs and recognising human activity patterns.

A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks (2019)
Journal Article
Bassoy, S., Imran, M. A., Yang, S., & Tafazolli, R. (2019). A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks. IEEE Access, 7, 92693-92708. https://doi.org/10.1109/access.2019.2927093

Coordinated multi-point (CoMP) transmission is one of the key features for long term evolution advanced (LTE-A) and a promising concept for interference mitigation in 5th generation (5G) and beyond future densely deployed wireless networks. Due to th... Read More about A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks.

Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers (2018)
Presentation / Conference Contribution
Loukas, C., Fioranelli, F., Le Kernec, J., & Yang, S. (2018, August). Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers. Presented at 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), Athens, Greece

This paper presents the first initial results of using radar raw I & Q data and range profiles combined with Long Short Term Memory layers to classify human activities. Although tested only on simple classification problems, this is an innovative app... Read More about Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers.

Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests (2018)
Journal Article
Lin, Y., Le Kernec, J., Yang, S., Fioranelli, F., Romain, O., & Zhao, Z. (2018). Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests. IEEE Sensors Journal, 18(23), 9669-9681. https://doi.org/10.1109/jsen.2018.2872849

The accurate classification of activity patterns based on radar signatures is still an open problem and is a key to detect anomalous behavior for security and health applications. This paper presents a novel iterative convolutional neural network str... Read More about Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests.

A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection (2018)
Presentation / Conference Contribution
Yu, Z., Yang, S., Zhou, K., & Aggoun, A. (2018, September). A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection. Presented at UK Workshop on Computational Intelligence, Nottingham

In this paper, we aim to develop a low-computational system for real-time image processing and analysis in endoscopy images for the early detection of the human esophageal adenocarcinoma and colorectal cancer. Rich statistical features are used to tr... Read More about A Low Computational Approach for Assistive Esophageal Adenocarcinoma and Colorectal Cancer Detection.

A Highly Integrated Hardware/Software Co-Design and Co-Verification Platform (2018)
Journal Article
Yang, S., & Yu, Z. (2019). A Highly Integrated Hardware/Software Co-Design and Co-Verification Platform. IEEE Design and Test, 36(1), 23-30. https://doi.org/10.1109/mdat.2018.2841029

This article presents a platform for hardware/software co-design and co-verification with a flexible hardware/software interface. The platform has been applied to verification of a pedestrian tracking application to demonstrate its effectiveness.

A single chip system for sensor data fusion based on a Drift-diffusion model (2018)
Presentation / Conference Contribution
Yang, S., Wong-Lin, K., Rano, I., & Lindsay, A. (2018). A single chip system for sensor data fusion based on a Drift-diffusion model. In 2017 Intelligent Systems Conference (IntelliSys). https://doi.org/10.1109/intellisys.2017.8324291

Current multisensory system face data communication overhead in integrating disparate sensor data to build a coherent and accurate global phenomenon. We present here a novel hardware and software co-design platform for a heterogeneous data fusion sol... Read More about A single chip system for sensor data fusion based on a Drift-diffusion model.

Towards a scalable hardware/software co-design platform for real-time pedestrian tracking based on a ZYNQ-7000 device (2018)
Presentation / Conference Contribution
Yu, W., Yang, S., Sillitoe, I., & Buckley, K. (2018). Towards a scalable hardware/software co-design platform for real-time pedestrian tracking based on a ZYNQ-7000 device. . https://doi.org/10.1109/icce-asia.2017.8307853

Currently, most designers face a daunting task to research different design flows and learn the intricacies of specific software from various manufacturers in hardware/software co-design. An urgent need of creating a scalable hardware/software co-des... Read More about Towards a scalable hardware/software co-design platform for real-time pedestrian tracking based on a ZYNQ-7000 device.

Interactive Reading Using Low Cost Brain Computer Interfaces (2017)
Presentation / Conference Contribution
Loizides, F., Naughton, L., Wilson, P., Loizou, M., Yang, S., Hartley, T., Worrallo, A., & Zaphiris, P. (2017, September). Interactive Reading Using Low Cost Brain Computer Interfaces. Presented at 16th IFIP TC 13 International Conference, Mumbai, India

This work shows the feasibility for document reader user applications using a consumer grade non-invasive BCI headset. Although Brain Computer Interface (BCI) type devices are beginning to aim at the consumer level, the level at which they can actual... Read More about Interactive Reading Using Low Cost Brain Computer Interfaces.