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【创源大讲堂】Digital Twins and Synthetic Data: A Case Study in Human Activity Recognition

来源:计算机与人工智能学院 日期:2024/05/08 14:13:23 点击数:

讲座时间:20240511日(星期10:00

讲座地点:犀浦校区3号教学楼X31541报告厅

主讲人:Chris Nugent 教授

主讲人简介:

Chris is Professor of Biomedical Engineering and is currently the Head of the School of Computing at Ulster University and director of the Pervasive Computing Research Centre.His research interests include the development and evaluation of technologies to support pervasive healthcare within smart environments. To date he has successfully supervised 47 PhD students to completion within these areas and has an h-index of 57. From 2017-2023 Chris was the consortium co-ordinator of the EU funded MSCA REMIND Project which established a multidisciplinary and international network to undertake research and training in the area of smart environments for persons with dementia.

内容简介:

Smart environments are key tools for tracking residents and analyzing behavior trends. The core task is identifying individual activities and understanding future actions and deviations from the norm. Whilst many approaches to human activity recognition have yielded high levels of performance the data available is now being considered by many as hindering significant improvements in performance. In our current work we have utilised the Digital Twin paradigm in an effort to increase the performance of human activity recognition algorithms. We have embraced the notion of using reconfigurable smart spaces coupled with augmentation of data sets with synthetic data. In this presentation an outline of our approach to date will be presented in addition to identifying a roadmap of our future planned activities.


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作者:邹远   编辑:蔡京君   


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