Assistive technology
Assistive technology

Assistive technology

Alumni/ae Artificial Intelligence Assistive technology Computer science and technology Human-computer interaction Innovation and Entrepreneurship (I&E) machine learning Media Lab Research School of Architecture and Planning Startups

Mouth-based touchpad enables people living with paralysis to interact with computers

The startup Augmental allows users to operate phones and other devices using their tongue, mouth, and head gestures.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Assistive technology Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Human-computer interaction machine learning Research Robotics Robots School of Engineering

Engineering household robots to have a little common sense

With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.

3-D printing Artificial Intelligence Assistive technology Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical Engineering & Computer Science (eecs) machine learning Maker movement Mechanical engineering MIT Schwarzman College of Computing Research School of Engineering

AI-driven tool makes it easy to personalize 3D-printable models

With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.

apps Artificial Intelligence Assistive technology Computer science and technology computer-vision health Health Care machine learning Mechanical engineering Mobile devices Research School of Engineering

A pose-mapping technique could remotely evaluate patients with cerebral palsy

The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.

Artificial Intelligence Assistive technology Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Science communications

Researchers teach an AI to write better chart captions

A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.