AI Methods for Personalized Suggestions on Smart Glasses Based on Human Activity Recognition-Reference-Cited by-同舟云学术

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AI Methods for Personalized Suggestions on Smart Glasses Based on Human Activity Recognition

Published:2022-09-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
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Author:

Boucharas Dimitrios G.¹,Androutsos Christos¹,Tachos Nikolaos S.¹,Tripoliti Evanthia E.²,Manousos Dimitrios³,Skaramagkas Vasileios³,Ktistakis Emmanouil³,Marias Kostas⁴,Tsiknakis Manolis⁴,Fotiadis Dimitrios I.⁵

Affiliation:

1. Biomedical Research Institute FORTH,Ioannina,Greece

2. University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science and Engineering,Ioannina,Greece

3. Institute of Computer Science FORTH Heraklion,Crete,Greece

4. Hellenic Mediterranean University,Department of Electrical and Computer Engineering,Heraklion,Crete,Greece

5. University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science and Engineering, Dept. of Biomedical Research, FORTH,Ioannina,Greece

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9926747/9926739/09926869.pdf?arnumber=9926869

Reference5 articles.

1. Develop Academic Question Recommender Based on Bayesian Network for Personalizing Student's Practice;qingsheng;Int'l J Emerging Technologies in Learning (IJET),2020

2. Exploring Artificial Intelligence methods for recognizing human activities in real time by exploiting inertial sensors

3. DRN

4. Intelligent recommendation method integrating knowledge graph and Bayesian network;hailan;Soft Computing,2021

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