A user-guided personalization methodology to facilitate new smart home occupancy.

Autor: Ali SMM; Department of Computer Science, Middlesex University, The Burroughs, Hendon, London, UK., Augusto JC; Department of Computer Science, Middlesex University, The Burroughs, Hendon, London, UK., Windridge D; Department of Computer Science, Middlesex University, The Burroughs, Hendon, London, UK., Ward E; Department of Psychology, Middlesex University, The Burroughs, Hendon, London, UK.
Jazyk: angličtina
Zdroj: Universal access in the information society [Univers Access Inf Soc] 2022 Jun 15, pp. 1-23. Date of Electronic Publication: 2022 Jun 15.
DOI: 10.1007/s10209-022-00883-x
Abstrakt: Smart homes are becoming increasingly popular in providing people with the services they desire. Activity recognition is a fundamental task to provide personalised home facilities. Many promising approaches are being used for activity recognition; one of them is data-driven. It has some fascinating features and advantages. However, there are drawbacks such as the lack of ability to providing home automation from the day one due to the limited data available. In this paper, we propose an approach, called READY (useR-guided nEw smart home ADaptation sYstem) for developing a personalised automation system that provides the user with smart home services the moment they move into their new house. The system development process was strongly user-centred, involving users in every step of the system's design. Later, the user-guided transfer learning approach was introduced that uses an old smart home data set to enhance the existing smart home service with user contributions. Finally, the proposed approach and designed system were tested and validated in the smart lab that showed promising results.
(© The Author(s) 2022.)
Databáze: MEDLINE
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