Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data

Author:

Augustinov Gabriela1ORCID,Nisar Muhammad Adeel2ORCID,Li Frédéric1,Tabatabaei Amir3,Grzegorzek Marcin4,Sohrabi Keywan5,Fudickar Sebastian1

Affiliation:

1. Institute of Medical Informatics, University of Lübeck, Germany

2. Department of IT, University of the Punjab, Pakistan

3. Institute of Medical Informatics, Justus-Liebig-University Giessen, Germany

4. Institute of Medical Informatics, University of Lübeck, Germany and Department of Knowledge Engineering, University of Economics in Katowice, Poland

5. Faculty of Health Sciences, THM University of Applied Sciences Giessen, Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

ACM

Reference28 articles.

1. A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition;Abbaspour Saedeh;Sensors,2020

2. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. CoRR abs/1409.0473(2015). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. CoRR abs/1409.0473(2015).

3. Antonio Bevilacqua , Kyle MacDonald , Aamina Rangarej , Venessa Widjaya , Brian Caulfield , and Tahar Kechadi . 2019. Human Activity Recognition with Convolutional Neural Networks . In Machine Learning and Knowledge Discovery in Databases . Springer International Publishing , 541–552. https://doi.org/10.1007/978-3-030-10997-4_33 10.1007/978-3-030-10997-4_33 Antonio Bevilacqua, Kyle MacDonald, Aamina Rangarej, Venessa Widjaya, Brian Caulfield, and Tahar Kechadi. 2019. Human Activity Recognition with Convolutional Neural Networks. In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 541–552. https://doi.org/10.1007/978-3-030-10997-4_33

4. Transfer learning for activity recognition: a survey

5. L.  Minh Dang , Kyungbok Min , Hanxiang Wang , Md.  Jalil Piran , Cheol Hee Lee , and Hyeonjoon Moon . 2020. Sensor-based and vision-based human activity recognition: A comprehensive survey. Pattern Recognition 108 (Dec . 2020 ), 107561. https://doi.org/10.1016/j.patcog.2020.107561 10.1016/j.patcog.2020.107561 L. Minh Dang, Kyungbok Min, Hanxiang Wang, Md. Jalil Piran, Cheol Hee Lee, and Hyeonjoon Moon. 2020. Sensor-based and vision-based human activity recognition: A comprehensive survey. Pattern Recognition 108 (Dec. 2020), 107561. https://doi.org/10.1016/j.patcog.2020.107561

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3