AI for Disabled

By Prabhant SinghBachelors in computer scienceRam Lal Anand College

Some stats about disables

• United Nations reporting that 3 out of 20 people in the world suffer with some type of disability which is around 15% of the world’s population,

• There is a growing feeling that we need to do more, to help make the lives of people with disabilities easier. 

•Not Just ROBOTS•Typically machine is fed with data and commit changes according to that data•Various branches: Machine Learning,

Neural networks, Deep learning, Cognitive systems

AI for Physically Disabled

Intelligent Prosthetics• Luke’s Arm(inspired by starwars):

• modelled more closely on the internal workings of a human arm, with the mechanical equivalent of tendons, muscles and bones allowing the user a much more natural range of motion, closer to a human arm than to the hooks

• Can be controlled by alternative nerve endings or controllers

Expanding the potential of Augmentative and Alternative Communication Systems (AAC) with Deep learning

• AAC are integral to the lives of those people who are unable to speak due to conditions such as motor neurone disease or cerebral palsy

• Currently uses computer Vision • Inclusion of deep learning technology into the devices in future

should reduce the time taken to program the device, which could bring the cost of the devices down to a more affordable level. 

AI for MentallyDisabled

Machine learning in ASD (Andy and Milo)• Autism Spectrum Disorder (ASD):

• Incurable• Suffered by one in hundred, where men are more likely to be

diagnosed• Causes child having difficulty in processing or engaging in human

interaction or emotion.• ANDY:

• Developed by London Knowledge Lab, uses Machine Learning• the children interacted readily with him, asking and answering

questions far more freely than if it had been a human adult.• MILO:

• An AI based robot rolled out in 50 schools in US• Generated exceptional results like physical contact, which was

unthinkable in ASD

Some other recent Developments

• Google provides support for braille script in smartphones with brailleback

• Virginia Tech University’s RoMeLa Robotics and Mechanisms Laboratory, pioneered a car that was designed for blind or partially-sighted people to be able to drive independently

IDEA: Using machine learning for mentally disabledClassification and clustering of MRI based data to analyze brain networks and diagnose and plan treatment for mentally disabled.

TOOLBOX Required

Why tensorflow:•Pre-trained models•GPU support•Fast training•Huge community support

Algorithm Used for clustering:KNN

Algorithm for classification : Decision Trees

How to Implement this•The same idea has been used by Google brain team in identifying the severity of diabetic retinopathy retinal imaging using tensorflow.1. Getting the MRI data.2. Clustering it and classifying it.3. Cross validating it with other psychiatrists.4. Training it over a long period.

Advantages of this idea

•India lacks the number of psychiatrists.•Around 33% children of India are mentally disabled in some way or another •These children can be prevented from being affected by severe mental disorders by early diagnosis