Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Gwen Littlewort"'
Autor:
Joel S. Perlmutter, David A. Peterson, H.A. Jinnah, Marian Stewart Bartlett, Gwen Littlewort, Mark Hallett, Antonella Macerollo, Terrence J. Sejnowski
Publikováno v:
Neurology, vol 87, iss 20
Objective: To compare clinical rating scales of blepharospasm severity with involuntary eye closures measured automatically from patient videos with contemporary facial expression software. Methods: We evaluated video recordings of a standardized cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8c75258db766530a235ac17e96d45c7
https://escholarship.org/uc/item/5bv5f6mp
https://escholarship.org/uc/item/5bv5f6mp
Publikováno v:
Neurocomputing. 93:126-132
Engineered features have been heavily employed in computer vision. Recently, feature learning from unlabeled data for improving the performance of a given vision task has received increasing attention in both machine learning and computer vision. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a49a64bc71f8efbbf07e77be0022dbb8
https://doi.org/10.1016/j.neucom.2012.04.017
https://doi.org/10.1016/j.neucom.2012.04.017
Publikováno v:
Image and Vision Computing. 27:1797-1803
We present initial results from the application of an automated facial expression recognition system to spontaneous facial expressions of pain. In this study, 26 participants were videotaped under three experimental conditions: baseline, posed pain,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30fa9372eeb2308eb4a50a082854bf3c
https://doi.org/10.1016/j.imavis.2008.12.010
https://doi.org/10.1016/j.imavis.2008.12.010
Publikováno v:
JMIR mHealth and uHealth
JMIR mHealth and uHealth, Vol 3, Iss 4, p e108 (2015)
JMIR mHealth and uHealth, Vol 3, Iss 4, p e108 (2015)
Background: Chronic diseases such as diabetes require high levels of medication adherence and patient self-management for optimal health outcomes. A novel sensing platform, Digital Health Feedback System (Proteus Digital Health, Redwood City, CA), ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::383e01b089cd061600eedcf995222b88
https://pubmed.ncbi.nlm.nih.gov/26721413
https://pubmed.ncbi.nlm.nih.gov/26721413
Publikováno v:
CVPR Workshops
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector machines, and linear discriminant analysis. Each video-frame is first scann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::196873e2e3e3fc7c9c294c8e3a9aa90f
https://doi.org/10.1016/j.imavis.2005.09.011
https://doi.org/10.1016/j.imavis.2005.09.011
Autor:
Judy Reilly, Marian Stewart Bartlett, Ravi Kumar Satzoda, Linda P. Salamanca, Deborah Forster, Suchitra Sathayanarayana, Gwen Littlewort, Amber Carini, Monique Lee
Publikováno v:
CVPR Workshops
In this paper, we present techniques for automated understanding of tutor-student behavior through detecting visual deictic gestures, in the context of one-to-one mathematics tutoring. To the best knowledge of the authors, this is the first work in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c87982a89850378b12ba0e13365fd757
https://doi.org/10.1109/cvprw.2014.77
https://doi.org/10.1109/cvprw.2014.77
Publikováno v:
WACV
This paper proposes a method for parts-based view-invariant head pose normalisation, which works well even in difficult real-world conditions. Handling pose is a classical problem in facial analysis. Recently, parts-based models have shown promising
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b4e3b787c413d7de1c2c439444d4c5b
https://doi.org/10.1109/wacv.2014.6835729
https://doi.org/10.1109/wacv.2014.6835729
Autor:
Suchitra Sathyanarayana, Karmen Dykstra, Marian Stewart Bartlett, Gwen Littlewort, Karan Sikka
Publikováno v:
ICMI
We propose a method to automatically detect emotions in unconstrained settings as part of the 2013 Emotion Recognition in the Wild Challenge [16], organized in conjunction with the ACM International Conference on Multimodal Interaction (ICMI 2013). O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53dd739d607be20b55ea2137344db0d5
https://doi.org/10.1145/2522848.2531741
https://doi.org/10.1145/2522848.2531741
Publikováno v:
ICCV Workshops
Analysis of hand gestures in one-to-one tutoring gives a number of characteristics of social interaction and behavior between the tutor and the student. This analysis can not only aid in understanding the effectiveness of the learning methodology and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::577e2fe356d317adb261675fe7817a90
https://doi.org/10.1109/iccvw.2013.105
https://doi.org/10.1109/iccvw.2013.105
Publikováno v:
ICDL-EPIROB
Infants rapidly develop the skills to coordinate attention to objects and people. In particular, the period 9–12 months is thought to bring a new ability to coordinate with and to share the objects of another persons' attention—like following the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bee60555ae26694e176a9a91ab5547a4
https://doi.org/10.1109/devlrn.2012.6400841
https://doi.org/10.1109/devlrn.2012.6400841