Karyono, Kanisius and Abdullah, Badr M. and Cotgrave, Alison J. and Bras, Ana (2020) A Novel Adaptive Lighting System Which Considers Behavioral Adaptation Aspects for Visually Impaired People. Buildings, 10 (9). ISSN 2075-5309
Full text not available from this repository.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 |
|---|---|
| Keywords: | elder people; disabled people; lighting comfort; adaptive methods; Artificial Intelligence; experience and memory principle |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods 600 Technology (Applied Sciences) |
| Divisions: | Faculty of Engineering & Informatics > Electrical Engineering |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 08 Dec 2021 08:57 |
| Last Modified: | 08 Dec 2021 08:57 |
| URI: | https://kc.umn.ac.id/id/eprint/19396 |
Actions (login required)
 |
View Item |
