Multi-Sensing Data Fusion for Human Activity Recognition Based on Neuromorphic Computing

Yu, Z., Zahid, A., Taylor, W., Heidari, H. , Imran, M. A. and Abbasi, Q. H. (2021) Multi-Sensing Data Fusion for Human Activity Recognition Based on Neuromorphic Computing. In: 2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Singapore, 04-10 Dec 2021, (Accepted for Publication)

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Abstract

No abstract available.

Item Type:Conference Proceedings
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zahid, Mr Adnan and Abbasi, Dr Qammer and Imran, Professor Muhammad and Taylor, William and Heidari, Dr Hadi and Yu, Mr Zheqi
Authors: Yu, Z., Zahid, A., Taylor, W., Heidari, H., Imran, M. A., and Abbasi, Q. H.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
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