Using Interoperability between Mobile Robot and KNX Technology for Occupancy Monitoring in Smart Home Care
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10253266" target="_blank" >RIV/61989100:27240/23:10253266 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/23/21/8953" target="_blank" >https://www.mdpi.com/1424-8220/23/21/8953</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s23218953" target="_blank" >10.3390/s23218953</a>
Alternative languages
Result language
angličtina
Original language name
Using Interoperability between Mobile Robot and KNX Technology for Occupancy Monitoring in Smart Home Care
Original language description
It is important for older and disabled people who live alone to be able to cope with the daily challenges of living at home. In order to support independent living, the Smart Home Care (SHC) concept offers the possibility of providing comfortable control of operational and technical functions using a mobile robot for operating and assisting activities to support independent living for elderly and disabled people. This article presents a unique proposal for the implementation of interoperability between a mobile robot and KNX technology in a home environment within SHC automation to determine the presence of people and occupancy of occupied spaces in SHC using measured operational and technical variables (to determine the quality of the indoor environment), such as temperature, relative humidity, light intensity, and CO2 concentration, and to locate occupancy in SHC spaces using magnetic contacts monitoring the opening/closing of windows and doors by indirectly monitoring occupancy without the use of cameras. In this article, a novel method using nonlinear autoregressive Neural Networks (NN) with exogenous inputs and nonlinear autoregressive is used to predict the CO2 concentration waveform to transmit the information from KNX technology to mobile robots for monitoring and determining the occupancy of people in SHC with better than 98% accuracy.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Research Centre of Advanced Mechatronic Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors
ISSN
1424-3210
e-ISSN
1424-8220
Volume of the periodical
23
Issue of the periodical within the volume
21
Country of publishing house
CH - SWITZERLAND
Number of pages
19
Pages from-to
1-19
UT code for WoS article
001100295000001
EID of the result in the Scopus database
2-s2.0-85176890093