Mr William Taylor
- Research Assistant (Autonomous Systems & Connectivity)
email:
William.Taylor@glasgow.ac.uk
email:
William.Taylor@glasgow.ac.uk
Taylor, W., Taha, A. , Tahir, A., Shah, S. A. , Abbasi, Q. H. and Imran, M. A. (2022) Novel Contactless Sensing Technique for Real-time Human Activity Detection. In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Denver, CO, USA, 10-15 Jul 2022, (Accepted for Publication)
Taylor, W., Shah, S. A. , Dashtipour, K., Le Kernec, J. , Abbasi, Q. H. , Assaleh, K., Arshad, K. and Imran, M. A. (2022) Wireless Sensing for Human Activity Recognition using USRP. In: 16th EAI International Conference on Body Area Networks (EAI BODYNETS 2021), Glasgow, UK, 25-26 Oct 2021, pp. 52-62. ISBN 9783030955922 (doi: 10.1007/978-3-030-95593-9_5)
Taylor, W., Taha, A. , Dashtipour, K., Shah, S. A. , Abbasi, Q. H. and Imran, M. A. (2022) AI-based Real-time Classification of Human Activity using Software Defined Radios. In: 1st International Conference on Microwave, Antennas & Circuits (ICMAC 2021), Islamabad, Pakistan, 21-22 Dec 2021, pp. 1-4. ISBN 9781665400862 (doi: 10.1109/ICMAC54080.2021.9678242)
Tahir, A., Taylor, W., Taha, A. , Usman, M., Shah, S. A. , Imran, M. A. and Abbasi, Q. T. (2022) IoT based fall detection system for elderly healthcare. In: Scataglini, S., Imbesi, S. and Marques, G. (eds.) Internet of Things for Human-Centered Design: Application to Elderly Healthcare. Series: Studies in Computational Intelligence, 1011. Springer: Singapore, pp. 209-232. ISBN 9789811684876 (doi: 10.1007/978-981-16-8488-3_10)
Dashtipour, K., Taylor, W., Ansari, S. , Zahid, A., Gogate, M., Ahmad, J., Assaleh, K., Arshad, K., Imran, M. A. and Abbai, Q. (2021) Detecting Alzheimer’s disease using machine learning methods. EAI BODYNETS 2021 - 16th EAI International Conference on Body Area Networks: Smart IoT and big data for intelligent health management, Glasgow, Great Britain, 25-26 October 2021. (Accepted for Publication)
Tahir, A., Taylor, W., Taha, A. , Usman, M., Shah, S. A. , Imran, M. A. and Abbasi, Q. T. (2022) IoT based fall detection system for elderly healthcare. In: Scataglini, S., Imbesi, S. and Marques, G. (eds.) Internet of Things for Human-Centered Design: Application to Elderly Healthcare. Series: Studies in Computational Intelligence, 1011. Springer: Singapore, pp. 209-232. ISBN 9789811684876 (doi: 10.1007/978-981-16-8488-3_10)
Dashtipour, K., Taylor, W., Ansari, S. , Zahid, A., Gogate, M., Ahmad, J., Assaleh, K., Arshad, K., Imran, M. A. and Abbai, Q. (2021) Detecting Alzheimer’s disease using machine learning methods. EAI BODYNETS 2021 - 16th EAI International Conference on Body Area Networks: Smart IoT and big data for intelligent health management, Glasgow, Great Britain, 25-26 October 2021. (Accepted for Publication)
Taylor, W., Taha, A. , Tahir, A., Shah, S. A. , Abbasi, Q. H. and Imran, M. A. (2022) Novel Contactless Sensing Technique for Real-time Human Activity Detection. In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Denver, CO, USA, 10-15 Jul 2022, (Accepted for Publication)
Taylor, W., Shah, S. A. , Dashtipour, K., Le Kernec, J. , Abbasi, Q. H. , Assaleh, K., Arshad, K. and Imran, M. A. (2022) Wireless Sensing for Human Activity Recognition using USRP. In: 16th EAI International Conference on Body Area Networks (EAI BODYNETS 2021), Glasgow, UK, 25-26 Oct 2021, pp. 52-62. ISBN 9783030955922 (doi: 10.1007/978-3-030-95593-9_5)
Taylor, W., Taha, A. , Dashtipour, K., Shah, S. A. , Abbasi, Q. H. and Imran, M. A. (2022) AI-based Real-time Classification of Human Activity using Software Defined Radios. In: 1st International Conference on Microwave, Antennas & Circuits (ICMAC 2021), Islamabad, Pakistan, 21-22 Dec 2021, pp. 1-4. ISBN 9781665400862 (doi: 10.1109/ICMAC54080.2021.9678242)
Khan, M. Z., Taha, A. , Taylor, W., Imran, M. and Abbasi, Q. (2022) Non-invasive Localization using Software-Defined Radios. [Data Collection]
Ashleibta, A. M. A., Taha, A., Taylor, W., Zoha, A. , Imran, M. and Abbasi, Q. (2021) 5G-Enabled Contactless Multi-User Presence and Activity Detection for Independent Assisted Living. [Data Collection]
The University of Glasgow uses cookies for analytics and advertising. Find out more about our Privacy policy.
Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.
Analytical cookies help us improve our website. We use Google Analytics. All data is anonymised.
Hotjar helps us to understand and improve our users’ behaviour by visually representing their clicks, taps and scrolling. All data is anonymised.
Marketing cookies are used to ensure our marketing content is relevant, timely and interest based. They allow our approved partner to measure effectiveness and serve appropriate and personalised marketing messages on other websites based on your activity on glasgow.ac.uk