Category:
Projects
Net4Age Ontology Terms:
aging
, comfort
, computer
, computer science
, device
, disease
, experience
, healthcare
, housing
, patient
, sensor
, technology
Description:
This research deals with the IoT-system development, that based on lighting and thermal comfortable parameters for improving the comfortable living of the older people. Also the second task of the IoT-system is avoiding and predicting instant decreasing of health level for older people based on data photoplethysmogram.IoT system uses the fuzzy knowledge base on the edge level for decreasing the computational complicity. For knowledge base development on cloud level the deep learning, clustering and fuzzy logic methods were used.
Overview:
This research deals with the IoT-system development, that based on lighting and thermal comfortable parameters for improving the comfortable living of the older people. Also the second task of the IoT-system is avoiding and predicting instant decreasing of health level for older people based on data photoplethysmogram.IoT system uses the fuzzy knowledge base on the edge level for decreasing the computational complicity. For knowledge base development on cloud level the deep learning, clustering and fuzzy logic methods were used.
Objectives:
Improving the comfortable living of the older people and predicting instant decreasing their health level based on IoT-system.
Initiatives:
The complex approach for improving the older people living
Shortcomings:
-
Relevance:
5
Relevance Description:
The digital technology is a part of improving the older people living.
Quality:
5
Opinion:
Very high and useful.
Recommended:
Yes
Overlap:
No
Overlap Detail:
Sources:
1) https://icaiit.org/paper.php?paper=11th_ICAIIT_1/4_8 2) https://link.springer.com/chapter/10.1007/978-3-031-16368-5_3 3) https://link.springer.com/chapter/10.1007/978-3-031-24963-1_27 4) https://ieeexplore.ieee.org/document/9978745 5) https://link.springer.com/chapter/10.1007/978-3-031-16368-5_6
Keywords:
IoT System for Comfortable Living, Thermal Comfort Lighting, Photoplethysmogram, Fuzzy Knowledge Base, Deep Learning, e-Health.
Submitted By:
Yehor Zheliazkov yzheliazkov2@gmail.com, Larysa Globa, Julia Yamnenko
Email:
lgloba@its.kpi.ua