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Eloy, S., Dias, L., Ourique, L. & Dias, M. S. (2019). Home mobility hazards detected via object recognition in augmented reality. In Sousa, JP, Henriques, GC and Xavier, JP (Ed.), eCAADe SIGraDI 2019: Architecture in the Age of the 4th Industrial Revolution. (pp. 415-422). Porto: ECAADE-EDUCATION & RESEARCH COMPUTER AIDED ARCHITECTURAL DESIGN EUROPE.

S. E. Rodrigues et al.,  "Home mobility hazards detected via object recognition in augmented reality", in eCAADe SIGraDI 2019: Architecture in the Age of the 4th Industrial Revolution, Sousa, JP, Henriques, GC and Xavier, JP, Ed., Porto, ECAADE-EDUCATION & RESEARCH COMPUTER AIDED ARCHITECTURAL DESIGN EUROPE, 2019, vol. 2, pp. 415-422

@inproceedings{rodrigues2019_1732210902502,
	author = "Eloy, S. and Dias, L. and Ourique, L. and Dias, M. S.",
	title = "Home mobility hazards detected via object recognition in augmented reality",
	booktitle = "eCAADe SIGraDI 2019: Architecture in the Age of the 4th Industrial Revolution",
	year = "2019",
	editor = "Sousa, JP, Henriques, GC and Xavier, JP",
	volume = "2",
	number = "",
	series = "",
	pages = "415-422",
	publisher = "ECAADE-EDUCATION & RESEARCH COMPUTER AIDED ARCHITECTURAL DESIGN EUROPE",
	address = "Porto",
	organization = "Faculty of Architecture of the University of Porto",
	url = "https://ecaadesigradi2019.arq.up.pt/"
}

TY  - CPAPER
TI  - Home mobility hazards detected via object recognition in augmented reality
T2  - eCAADe SIGraDI 2019: Architecture in the Age of the 4th Industrial Revolution
VL  - 2
AU  - Eloy, S.
AU  - Dias, L.
AU  - Ourique, L.
AU  - Dias, M. S.
PY  - 2019
SP  - 415-422
SN  - 2684-1843
CY  - Porto
UR  - https://ecaadesigradi2019.arq.up.pt/
AB  - We present an Environmental Analysis and Safety Advisor system capable of identify the environmental barriers and hazards found in the homes of elderly people. This augmented reality tool runs on a portable computing device and can be used by informal and formal caregivers without specific knowledge of Accessible Design, to evaluate the safeness of an elderly home environment, ensuring that potential fall hazards are detected and corrected. The system recognizes specific indoor elements of the house (e.g. arm-chair, bed, chair), and then computes and analyses their mutual distances in the environment so that a warning of hazard is emitted in case of need (e.g. loose cable, not enough space to pass a wheelchair). In this context, we implemented object recognition at the category level of miniature versions of real sized furniture and the determination of the distance between neighboring objects, signaling if it is below a certain threshold value. Environmental Analysis tool can then recognize furniture and measure the distance between two furniture elements enabling the system to pop up an alert sign if the space left does not guarantee good accessibility.
ER  -