This paper is devoted to the development of scientific methods for monitoring human behavior in a smart home system and its adaptation for residents with disabilities.
The paper discusses the key components and functionalities of smart home architecture, including sensor systems, actuators, data processing, and user interfaces. The study concludes by highlighting the importance of user-centered technologies and continuous research in developing robust and scalable architectures for smart homes.
Original languageEnglish
Title of host publication17 international conference Communications Electromagnetics and Medical Applications: CEMA23
Place of PublicationСофия, Болгария
PublisherСофийский технический университет
Pages33-39
Number of pages7
StatePublished - 3 Nov 2023
Event17 TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, ELECTROMAGNETICS AND MEDICAL APPLICATIONS - Афинский Технический Университет, Афины, Greece
Duration: 3 Nov 20233 Nov 2023
Conference number: 17
http://(http://rcvt.tu-sofia.bg/CEMA/proceedings/CEMA_2022_proc.pdf

Conference

Conference17 TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, ELECTROMAGNETICS AND MEDICAL APPLICATIONS
Abbreviated titleCEMA 23
Country/TerritoryGreece
CityАфины
Period3/11/233/11/23
Internet address

    Research areas

  • smart home, machine learning, monitoring, people with disabilities, Architectural design

    Scopus subject areas

  • Artificial Intelligence

ID: 114669609