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Automatic Identification of Facial Tics Using Selfie-Video
Yocheved Loewenstern
,
Noa Benaroya-Milshtein
, Katya Belelovsky
, Izhar Bar-Gad
*
*
Corresponding author for this work
Psychiatry
Bar-Ilan University
Schneider Childrens Medical Center Israel
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Keyphrases
Automatic Identification
100%
Tic Disorders
100%
Selfie
100%
Facial Tic
100%
One Session
50%
Treatment Efficacy
50%
Quantitative Evaluation
50%
Clinical Evaluation
50%
Behavioral Context
50%
Clinical Follow-up
50%
Smartphone Application
50%
Deep Neural Network
50%
Efficacy Evaluation
50%
Subjective Survey
50%
Temporal Properties
50%
Video Segment
50%
Spatial Properties
50%
Training Scheme
50%
Symptom Fluctuation
50%
Facial Landmarks
50%
Clinical Visit
50%
Motor Tics
50%
Smartphone Technology
50%
Symptom Variability
50%
Intrinsic Nature
50%
Leave-one-subject-out
50%
Computer Science
Objective Measure
100%
Smartphone Application
100%
Quantitative Evaluation
100%
Deep Neural Network
100%
Spatial Property
100%
temporal property
100%
Administered Questionnaire
100%
Related Feature
100%
Psychology
Selfies
100%
Cross-Validation
50%
Neural Network
50%
Neuroscience
Tic Disorder
100%
Neural Network
50%