Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder
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Updated
Apr 27, 2020 - Python
Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder
Deep neural network trained to detect eye contact from facial image
This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including data from individuals diagnosed with Autism (ASD). For more details and data request send an email to the authors and contributors Juan Manuel Mayor Torres (juan.mayortorres@unitn.it) and Mirco Ravanelli (Mila)
Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical data were collected in StonyBrook Social Competence Treatment Lab, for data request evaluation please contact professor Matthew D. Lerner matthew.lerner@stonybrook.edu
ASD diagnosis on ABIDE I
Code respository for AutSPACEs: the Autistica/Turing citizen science platform
Employs data science to assist therapists treat a common autism symptom that involves interpretation and correlation of facial and speech emotions
Project for detecting Autism and Dyslexia using ML. A POC for the KPMG Ideation Challenge, 2021.
Code implementation of SHRED variants
Exploring Autism Detection and Classification through Eye-Tracking Scanpath and AI-based Models: Challenges and Insights
This repository contains all of code used to create the Autism Waiting Times publication.
Video Classification Autism Behaviour
Face Micro-Expression Analysis on ADOS Videos
Programmatically help your mental health. Share your thoughts and quotes to your friends through Discord status. May help with OCD, Autism, ADHD and anxiety.
This streamlit app helps you rephrase your language for effectively communicating with kids with PDA.
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