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pro vyhledávání: '"Ali, Mohammad Rafayet"'
Facial expressions can detect Parkinson's disease: preliminary evidence from videos collected online
Autor:
Ali, Mohammad Rafayet, Myers, Taylor, Wagner, Ellen, Ratnu, Harshil, Dorsey, E. Ray, Hoque, Ehsan
Publikováno v:
npj Digital Medicine 2021
One of the symptoms of Parkinson's disease (PD) is hypomimia or reduced facial expressions. In this paper, we present a digital biomarker for PD that utilizes the study of micro-expressions. We analyzed the facial action units (AU) from 1812 videos o
Externí odkaz:
http://arxiv.org/abs/2012.05373
Autor:
Ali, Mohammad Rafayet, Sen, Taylan, Kane, Benjamin, Bose, Shagun, Carroll, Thomas M, Epstein, Ronald, Schubert, Lenhart, Hoque, Ehsan
In this paper, we describe the iterative participatory design of SOPHIE, an online virtual patient for feedback-based practice of sensitive patient-physician conversations, and discuss an initial qualitative evaluation of the system by professional e
Externí odkaz:
http://arxiv.org/abs/2009.11247
Autor:
Rahman, Wasifur, Lee, Sangwu, Islam, Md. Saiful, Antony, Victor Nikhil, Ratnu, Harshil, Ali, Mohammad Rafayet, Mamun, Abdullah Al, Wagner, Ellen, Jensen-Roberts, Stella, Little, Max A., Dorsey, Ray, Hoque, Ehsan
In this paper, we envision a web-based framework that can help anyone, anywhere around the world record a short speech task, and analyze the recorded data to screen for Parkinson's disease (PD). We collected data from 726 unique participants (262 PD,
Externí odkaz:
http://arxiv.org/abs/2009.01231
Autor:
Chattoraj, Ankani, Acharyya, Rupam, Shivkumar, Sabyasachi, Tanveer, Md Iftekar, Ali, Mohammad Rafayet
This project uses a spatial model (Geographically Weighted Regression) to relate various physical and social features to crime rates. Besides making interesting predictions from basic data statistics, the trained model can be used to predict on the t
Externí odkaz:
http://arxiv.org/abs/2002.12721
We present some results concerning the dialogue behavior and inferred sentiment of a group of older adults interacting with a computer-based avatar. Our avatar is unique in its ability to hold natural dialogues on a wide range of everyday topics---27
Externí odkaz:
http://arxiv.org/abs/1907.06279
Despite a revolution in the pervasiveness of video cameras in our daily lives, one of the most meaningful forms of nonverbal affective communication, interpersonal eye gaze, i.e. eye gaze relative to a conversation partner, is not available from comm
Externí odkaz:
http://arxiv.org/abs/1906.12175
Autor:
Razavi, S. Zahra, Schubert, Lenhart K., Kane, Benjamin, Ali, Mohammad Rafayet, Van Orden, Kimberly, Ma, Tianyi
We address the problem of designing a conversational avatar capable of a sequence of casual conversations with older adults. Users at risk of loneliness, social anxiety or a sense of ennui may benefit from practicing such conversations in private, at
Externí odkaz:
http://arxiv.org/abs/1901.06620
Autor:
Ali, Mohammad Rafayet, Razavi, Zahra, Mamun, Abdullah Al, Langevin, Raina, Kane, Benjamin, Rawassizadeh, Reza, Schubert, Lenhart, Hoque, M Ehsan
We present the design of an online social skills development interface for teenagers with autism spectrum disorder (ASD). The interface is intended to enable private conversation practice anywhere, anytime using a web-browser. Users converse informal
Externí odkaz:
http://arxiv.org/abs/1811.03046
Akademický článek
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Facial expressions can detect Parkinson’s disease: preliminary evidence from videos collected online
Autor:
Ali, Mohammad Rafayet, Myers, Taylor, Wagner, Ellen, Ratnu, Harshil, Dorsey, E. Ray, Hoque, Ehsan
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-4 (2021)
NPJ Digital Medicine
NPJ Digital Medicine
A prevalent symptom of Parkinson’s disease (PD) is hypomimia — reduced facial expressions. In this paper, we present a method for diagnosing PD that utilizes the study of micro-expressions. We analyzed the facial action units (AU) from 1812 video
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::bc1b5b3c3f098329853408d8ea77e8b1
https://doaj.org/article/614daa2b2e2d48b09ec72bffcfe173ac
https://doaj.org/article/614daa2b2e2d48b09ec72bffcfe173ac
