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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Eloy, S., Dias, L., Ourique, Lázaro & Dias, J. (2019). Home Mobility Hazards Detected via Object Recognition in Augmented Reality. In Sousa, JP, Xavier, JP and Castro Henriques, G (Ed.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference. (pp. 415-422). Porto
Exportar Referência (IEEE)
S. E. Rodrigues et al.,  "Home Mobility Hazards Detected via Object Recognition in Augmented Reality", in Architecture in the Age of the 4th Industrial Revolution - Proc. of the 37th eCAADe and 23rd SIGraDi Conf., Sousa, JP, Xavier, JP and Castro Henriques, G, Ed., Porto, 2019, vol. 2, pp. 415-422
Exportar BibTeX
@inproceedings{rodrigues2019_1618570919546,
	author = "Eloy, S. and Dias, L. and Ourique, Lázaro and Dias, J.",
	title = "Home Mobility Hazards Detected via Object Recognition in Augmented Reality",
	booktitle = "Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference",
	year = "2019",
	editor = "Sousa, JP, Xavier, JP and Castro Henriques, G",
	volume = "2",
	number = "",
	series = "",
	pages = "415-422",
	publisher = "",
	address = "Porto",
	organization = "FAUP",
	url = "http://papers.cumincad.org/data/works/att/ecaadesigradi2019_016.pdf"
}
Exportar RIS
TY  - CPAPER
TI  - Home Mobility Hazards Detected via Object Recognition in Augmented Reality
T2  - Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference
VL  - 2
AU  - Eloy, S.
AU  - Dias, L.
AU  - Ourique, Lázaro
AU  - Dias, J.
PY  - 2019
SP  - 415-422
CY  - Porto
UR  - http://papers.cumincad.org/data/works/att/ecaadesigradi2019_016.pdf
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  -