dataset · Mendeley Data · 2022
VISUAL SENSORY PROCESSING DISORDER DETECTION
Suruchi Dedgaonkar
Cited by 0Open access
Abstract
Screening tools play a vital role in sensory processing disorder detection. The automatic collection of features related to behavioral parameters and the response to given stimuli is possible with the recent technology. Real time stress related health parameters are collected as response to visual stimuli created with experts’ suggestions based on visual sensory processing related questionnaire. Body temperature and heart rate are obtained by smart watch. Probability distribution for seven facial expressions (Angry, Disgust, Fear, Happy, Neutral, Sad, Surprise) is retrieved from video captured during portrayed stimuli. Reduced questionnaire is filled by care takers or parents based on the observations. This data will help behavioral therapist to reduce time, efforts and number of screening sessions required for visual sensory processing disorder detection and tracking effectiveness of therapy.
Cite this paper
Dedgaonkar, S. (2022). VISUAL SENSORY PROCESSING DISORDER DETECTION. Mendeley Data. https://doi.org/10.17632/k3p924689y
Dedgaonkar, Suruchi. “VISUAL SENSORY PROCESSING DISORDER DETECTION.” Mendeley Data, 2022, https://doi.org/10.17632/k3p924689y.
Dedgaonkar, Suruchi. 2022. “VISUAL SENSORY PROCESSING DISORDER DETECTION.” Mendeley Data. https://doi.org/10.17632/k3p924689y.
Dedgaonkar, S. (2022) ‘VISUAL SENSORY PROCESSING DISORDER DETECTION’, Mendeley Data. Available at: https://doi.org/10.17632/k3p924689y.
@misc{dedgaonkar2022visual,
title = {{VISUAL SENSORY PROCESSING DISORDER DETECTION}},
author = {Dedgaonkar, Suruchi},
journal = {Mendeley Data},
year = {2022},
doi = {10.17632/k3p924689y}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.