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Leveraging Free-Hand Sketches for Potential Screening of PTSD

on YouTube 06m
Talkat UbiComp / ISWC 2020 · 2020-09-12..09-17· [data-science]

speakers

name:Farhana Shahid
links:none on file
name:Wasifur Rahman
links:none on file
name:M. Saifur Rahman
links:none on file
name:Sharmin Akther Purabi
links:none on file
name:Ayesha Seddiqa
links:none on file
name:Moin Mostakim
links:none on file
name:Farhan Feroz
links:none on file
name:Tanjir Rashid Soron
links:none on file
name:Fahmida Hossain
links:none on file
name:Nabila Khan
links:none on file
name:Anika Binte Islam
links:none on file
name:Nipi Pau
links:none on file
name:Ehsan Hoque
links:none on file

resources

video:https://youtu.be/oCxlqX_cENA
slides:none on file

summary

Free-hand home sketches from Rohingya refugees (n=44), slum-dwellers (n=35) and engineering students (n=85) are digitized with a mobile phone camera and analyzed for number of corners, number and average length of strokes using corner and edge detection. Logistic regression using gender, group, sketch features and themes screens PTSD at about 82.9–87.9% accuracy; a Random Forest that combines a low-cost EEG headset with sketch features reaches 99.29% for the refugee sample.

AI-written summary · about

chapters (8)

  1. 0:00Introduction
  2. 1:30Research Question
  3. 3:05Qualitative Analysis
  4. 3:22Image Processing
  5. 3:38Logistic Regression
  6. 4:15Random Forest Model
  7. 4:32Implications
  8. 5:23Future Work

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