Keyboard Layout Optimization for ALS Patients

In case you missed it, you may find below our webinar in collaboration with DSSG.

For most of us, typing is the easiest part of transmitting a written message: we type and walk without even looking at the keyboard. I rewrote this abstract 3-4 times – writing wasn’t the issue, the message was. For ALS patients, there is a whole different story. Each movement may become a major physical challenge, getting in the way of communicating with others.⠀

In this talk, we discuss how we used Data Science to optimize a keyboard layout to minimize the typing workload of ALS patients. This project was motivated by Anthony Carbajal, a full-time daily life hacker that aims to find innovative ways to improve his and other ALS-patient lives.

Our solution was based on Metaheuristics optimization. We combined Genetic Algorithms and many other algorithms to find the best layout.

Course

Metaheuristics: Theory and Applications

Learn more about Metaheuristics in our course.

Learn More
.

Also, after the webinar, we co-organized a competition in collaboration with DSSG where we challenged the community to propose and optimize new keyboard variants. You can see the video with the results from the winning team here.

Photo by Major Tom Agency on Unsplash

Like this story?

Subscribe to Our Newsletter

Special offers, latest news and quality content in your inbox.

Signup single post

Consent(Required)
This field is for validation purposes and should be left unchanged.

Recommended Articles

Article
AI City Intelligence

Imagine being able to make better decisions about where to live, where to establish a new business, or how to understand the changing dynamics of urban neighborhoods. Access to detailed, up-to-date information about city environments allows us to answer these questions with greater confidence, but the challenge lies in accessing and analyzing the right data. […]

Read More
Article
EcoRouteAI: Otimização de Ecopontos com Inteligência Artificial

O Plano Estratégico para os Resíduos Urbanos (PERSU) 2030 definiu metas ambiciosas para a gestão de resíduos em Portugal, com o objetivo de aumentar a reciclagem e melhorar a sustentabilidade ambiental. No entanto, os atuais índices de reciclagem e separação de resíduos ainda estão aquém do necessário, tanto a nível nacional quanto europeu, criando desafios […]

Read More
Article
NILG.AI named Most-Reviewed AI Companies in Portugal by The Manifest

The artificial intelligence space has been showcasing many amazing technologies and solutions. AI is at its peak, and many businesses are using it to help propel their products and services to the top! You can do it, too, with the help of one of the best AI Companies in Portugal: NILG.AI. We focus on your […]

Read More