Quiet Mind

Reduce self-stimulation behavior in autistic children

Las Vegas

49 Views
Simulator_screen_shot_-_iphone_x_-_2018-05-06_at_10.01.58
Simulator_screen_shot_-_iphone_x_-_2018-05-06_at_10.01.58
Simulator_screen_shot_-_iphone_x_-_2018-05-06_at_10.02.13

Technologies Used

JavaScript
Python
CSS
Swift
HTML
iOS
Bootsrap
Fitbit
Fitbit OS

Project Team

Sarah Han
Developer Designer
Ed Arenberg
Developer
Chris Buonocore
brandon in

This team is looking for

Product Manager Investor
REQUEST TO JOIN

About

In 1970, 1 in 10,000 children were diagnosed with Autism. In 2017 it was 1 in 40. A telltale behavior of Autism is self-stimulation, which is repetitive motion that can sometimes be harmful or destructive. There is no cure for Autism, but we can help. That is why we made Quiet Mind. Using Fitbit sensors (velocity and acceleration) we custom train a machine-learning model to detect self-stimulation activity. Quiet Mind generates a notification to appropriate care givers so they can apply timely and consistent positive-reinforcement corrections. It has been shown that such actions can reduce, and even eliminate self-stimulating behavior. Quiet Mind logs info about the activity using Softheon APIs, and provides a website for physicians, caregivers, and parents to review trends and the effectiveness of treatment. For the future, we want to build out a scalable backend, include user registration, add more comprehensive reporting, and integrate with Fitbit devices appropriate for children. Quiet Mind reduces the burden on caregivers and our heath system, and helps children with Autism better integrate into society,

Comments