Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Niall, Fox"'
Autor:
Patricia Boyle, Stephanie Smith, Walter T. McNicholas, Philip de Chazal, Caroline O’Connell, Conor Heneghan, Niall Fox, Emer O'hare, Alberto Zaffaroni
Publikováno v:
Journal of Sleep Research. 20:356-366
We studied a novel non-contact biomotion sensor, which has been developed for identifying sleep/wake patterns in adult humans. The biomotion sensor uses ultra low-power reflected radiofrequency waves to determine the movement of a subject during slee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2395386aac993a3618b6a834c0b1fc82
https://doi.org/10.1111/j.1365-2869.2010.00876.x
https://doi.org/10.1111/j.1365-2869.2010.00876.x
Publikováno v:
IEEE Transactions on Multimedia. 9:701-714
Information about person identity is multimodal. Yet, most person-recognition systems limit themselves to only a single modality, such as facial appearance. With a view to exploiting the complementary nature of different modes of information and incr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::227fa805b90b1e8a60365678b99dad24
https://doi.org/10.1109/tmm.2007.893339
https://doi.org/10.1109/tmm.2007.893339
Autor:
Philip, De Chazal, Niall, Fox, Emer, O'Hare, Conor, Heneghan, Alberto, Zaffaroni, Patricia, Boyle, Stephanie, Smith, Caroline, O'Connell, Walter T, McNicholas
Publikováno v:
Journal of sleep research. 20(2)
We studied a novel non-contact biomotion sensor, which has been developed for identifying sleep/wake patterns in adult humans. The biomotion sensor uses ultra low-power reflected radiofrequency waves to determine the movement of a subject during slee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::81e1ae68fd3ee25af7f07b10f3618da0
https://pubmed.ncbi.nlm.nih.gov/20704645
https://pubmed.ncbi.nlm.nih.gov/20704645
Publikováno v:
BMC Musculoskeletal Disorders, Vol 10, Iss 1, p 122 (2009)
BMC Musculoskeletal Disorders
BMC Musculoskeletal Disorders
Background While approximately 70% of chronic low back pain (CLBP) sufferers complain of sleep disturbance, current literature is based on self report measures which can be prone to bias and no objective data of sleep quality, based exclusively on CL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bc6434ac61af4a0dc25c49b78791e2b
https://doi.org/10.1186/1471-2474-10-122
https://doi.org/10.1186/1471-2474-10-122
Publikováno v:
Scopus-Elsevier
We evaluate a contact-less continuous measuring system measuring respiration and activity patterns system for identifying sleep/wake patterns in adult humans. The system is based on the use of a novel non-contact biomotion sensor, and an automated si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19f127a13fe296d5fa546356f3224a40
https://doi.org/10.1109/iembs.2008.4649203
https://doi.org/10.1109/iembs.2008.4649203
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2007
Actimetry is a widely accepted technology for the diagnosis and monitoring of sleep disorders such as insomnia, circadian sleep/wake disturbance, and periodic leg movement. In this study we investigate a very sensitive non-contact biomotion sensor to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b164bec085c9ab3a10a801c1699b145
https://pubmed.ncbi.nlm.nih.gov/18002543
https://pubmed.ncbi.nlm.nih.gov/18002543
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540278870
AVBPA
AVBPA
An audio-visual speaker identification system is described, where the audio and visual speech modalities are fused by an automatic unsupervised process that adapts to local classifier performance, by taking into account the output score based reliabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34109c81aafdf3f2a6b8602755d57c60
https://doi.org/10.1007/11527923_82
https://doi.org/10.1007/11527923_82
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540278870
AVBPA
AVBPA
The performance of deployed audio, face, and multi-modal person recognition systems in non-controlled scenarios, is typically lower than systems developed in highly controlled environments. With the aim to facilitate the development of robust audio,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c284bf857d7138d2ce89c045364a5375
https://doi.org/10.1007/11527923_81
https://doi.org/10.1007/11527923_81
Autor:
Niall Fox, Richard B. Reilly
Publikováno v:
SMC (1)
The research presented in This work describes audio-visual speaker identification experiments carried out on a large data set of 251 subjects. Both the audio and visual modeling is carried out using hidden Markov models. The visual modality uses the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d382c24bc2082d536384420816c685b4
https://doi.org/10.1109/icsmc.2004.1398362
https://doi.org/10.1109/icsmc.2004.1398362
Autor:
Richard B. Reilly, Niall Fox
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540403029
AVBPA
AVBPA
This paper presents a speaker identification system based on dynamical features of both the audio and visual modes. Speakers are modeled using a text dependent HMM methodology. Early and late audio-visual integration are investigated. Experiments are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1f09767b062797a80730fb418b8be0c
https://doi.org/10.1007/3-540-44887-x_86
https://doi.org/10.1007/3-540-44887-x_86