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A Novel Adaptive Lighting System Which Considers Behavioral Adaptation Aspects for Visually Impaired People

Karyono, K, Abdullah, B, Cotgrave, A and Brás, A (2020) A Novel Adaptive Lighting System Which Considers Behavioral Adaptation Aspects for Visually Impaired People. Buildings, 10 (9). ISSN 2075-5309

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Abstract

The number of visually impaired people and elderly people groups are significant, but the current lighting system used in buildings, which is based on the current standard, cannot provide the necessary lighting comfort for them. The lighting system should provide the correct illuminance for every activity and even pattern of light. This research presents the work in progress in developing the novel adaptive lighting system tailored for visually impaired people, which becomes the solution to the problem. The behavioral adaptation aspects and the experience and memory principle are taken into account in the system design. It also makes use of the latest independent adjustable artificial light (LED) technology, to get an even pattern of lighting, while still considering efficient energy usage. The proposed system structure uses a wireless sensor network (WSN), big data processing, and the Artificial Intelligence (AI) sub-system, which can predict and adaptively regulate the illumination level based on the occupant’s needs and routines. The initial simulation of the lighting model is presented in this paper. The simulation uses five scenarios in different seasons and daylight. The simulation shows satisfactory results for illuminance values 200, 250, 300, 500, and 750 lux, needed by the occupants.

Item Type: Article
Uncontrolled Keywords: 1201 Architecture, 1202 Building, 1203 Design Practice and Management
Subjects: N Fine Arts > NA Architecture
H Social Sciences > HV Social pathology. Social and public welfare. Criminology > HV697 Protection, assistance and relief > HV1551 People with disabilities
Divisions: Civil Engineering (merged with Built Env 10 Aug 20)
Publisher: MDPI AG
Date Deposited: 24 Sep 2020 09:03
Last Modified: 24 Sep 2020 09:15
DOI or Identification number: 10.3390/buildings10090168
URI: https://researchonline.ljmu.ac.uk/id/eprint/13713

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