Visual sensory processing disorder detection

Citation Author(s):
Suruchi
Dedgaonkar
Researcher, MIT-ADT university and Faculty, Vishwakarma Institute of Information Technology, Pune
Rajneeshkaur
Sachdeo
Professor, MIT-ADT University,Pune
Suneel
Godbole
Chiranjeev clinic, Pune
Submitted by:
Suruchi Dedgaonkar
Last updated:
Mon, 02/21/2022 - 01:07
DOI:
10.21227/j25m-nx44
Data Format:
License:
0
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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. 

Instructions: 

Reduced set of questionnaires with rating (1: much less, 5: much more) for two questions is taken from family member/ parent/ care taker of the person.  The visual stimuli designed by an expert is portrayed to the person and the stress related parameters (body temperature in degrees Fahrenheit, heart rate in bpm) are captured during this session using health sensors in smart watch. Facial expressions are also captured with the help of camera during the session and probability mass function for emotions is stored in the dataset.

The dataset folder includes .csv files for sensor data, reduced questionnaire data and emotion probability mass function data.

Comments

During COVID 19 pandemic, there is the need to reduce actual contact hours required for screening. The dataset is useful for automatic and fast detection of sensory processing disorder.

Submitted by Suruchi Dedgaonkar on Fri, 02/11/2022 - 14:19