@inproceedings{vacher-etal-2016-cirdo,
title = "The {CIRDO} Corpus: Comprehensive Audio/Video Database of Domestic Falls of Elderly People",
author = {Vacher, Michel and
Bouakaz, Sa{\"\i}da and
Chaumon, Marc-Eric Bobillier and
Aman, Fr{\'e}d{\'e}ric and
Khan, R. A. and
Bekkadja, Slima and
Portet, Fran{\c{c}}ois and
Guillou, Erwan and
Rossato, Solange and
Lecouteux, Benjamin},
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1221",
pages = "1389--1396",
abstract = "Ambient Assisted Living aims at enhancing the quality of life of older and disabled people at home thanks to Smart Homes. In particular, regarding elderly living alone at home, the detection of distress situation after a fall is very important to reassure this kind of population. However, many studies do not include tests in real settings, because data collection in this domain is very expensive and challenging and because of the few available data sets. The C IRDO corpus is a dataset recorded in realistic conditions in D OMUS , a fully equipped Smart Home with microphones and home automation sensors, in which participants performed scenarios including real falls on a carpet and calls for help. These scenarios were elaborated thanks to a field study involving elderly persons. Experiments related in a first part to distress detection in real-time using audio and speech analysis and in a second part to fall detection using video analysis are presented. Results show the difficulty of the task. The database can be used as standardized database by researchers to evaluate and compare their systems for elderly person{'}s assistance.",
}
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<abstract>Ambient Assisted Living aims at enhancing the quality of life of older and disabled people at home thanks to Smart Homes. In particular, regarding elderly living alone at home, the detection of distress situation after a fall is very important to reassure this kind of population. However, many studies do not include tests in real settings, because data collection in this domain is very expensive and challenging and because of the few available data sets. The C IRDO corpus is a dataset recorded in realistic conditions in D OMUS , a fully equipped Smart Home with microphones and home automation sensors, in which participants performed scenarios including real falls on a carpet and calls for help. These scenarios were elaborated thanks to a field study involving elderly persons. Experiments related in a first part to distress detection in real-time using audio and speech analysis and in a second part to fall detection using video analysis are presented. Results show the difficulty of the task. The database can be used as standardized database by researchers to evaluate and compare their systems for elderly person’s assistance.</abstract>
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%0 Conference Proceedings
%T The CIRDO Corpus: Comprehensive Audio/Video Database of Domestic Falls of Elderly People
%A Vacher, Michel
%A Bouakaz, Saïda
%A Chaumon, Marc-Eric Bobillier
%A Aman, Frédéric
%A Khan, R. A.
%A Bekkadja, Slima
%A Portet, François
%A Guillou, Erwan
%A Rossato, Solange
%A Lecouteux, Benjamin
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F vacher-etal-2016-cirdo
%X Ambient Assisted Living aims at enhancing the quality of life of older and disabled people at home thanks to Smart Homes. In particular, regarding elderly living alone at home, the detection of distress situation after a fall is very important to reassure this kind of population. However, many studies do not include tests in real settings, because data collection in this domain is very expensive and challenging and because of the few available data sets. The C IRDO corpus is a dataset recorded in realistic conditions in D OMUS , a fully equipped Smart Home with microphones and home automation sensors, in which participants performed scenarios including real falls on a carpet and calls for help. These scenarios were elaborated thanks to a field study involving elderly persons. Experiments related in a first part to distress detection in real-time using audio and speech analysis and in a second part to fall detection using video analysis are presented. Results show the difficulty of the task. The database can be used as standardized database by researchers to evaluate and compare their systems for elderly person’s assistance.
%U https://aclanthology.org/L16-1221
%P 1389-1396
Markdown (Informal)
[The CIRDO Corpus: Comprehensive Audio/Video Database of Domestic Falls of Elderly People](https://aclanthology.org/L16-1221) (Vacher et al., LREC 2016)
ACL
- Michel Vacher, Saïda Bouakaz, Marc-Eric Bobillier Chaumon, Frédéric Aman, R. A. Khan, Slima Bekkadja, François Portet, Erwan Guillou, Solange Rossato, and Benjamin Lecouteux. 2016. The CIRDO Corpus: Comprehensive Audio/Video Database of Domestic Falls of Elderly People. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1389–1396, Portorož, Slovenia. European Language Resources Association (ELRA).