Close

Search

Search Menu
Photonics Media Photonics Marketplace Photonics Spectra BioPhotonics EuroPhotonics Vision Spectra Photonics Showcase Photonics ProdSpec Photonics Handbook

Cameras Improve Exoskeleton-Assisted Walking

Facebook Twitter LinkedIn Email
Machine vision technology has the potential to greatly improve exoskeletons and prosthetic legs, according to recent work from the University of Waterloo in Ontario, Canada. The technology combines computer vision and deep learning AI to mimic how able-bodied individuals adjust their movements based on visual information of their surroundings.

Motorized exoskeletons often require manual controls, which are operated by smartphones or with joysticks. The process, as a whole, can be cognitively demanding, said Brokoslaw Laschowski, a Ph.D. candidate in systems design engineering and leader of the project.

“Every time you want to perform a new locomotor activity, you have to stop, take out your smartphone, and select the desired mode," he said.

To overcome those difficulties, the researchers fitted exoskeleton users with wearable cameras and are working to optimize AI software to process the video feed so that it can reliably identify stairs, doors, uneven surfaces, and other environmental features.
A demonstration of an exoskeleton system equipped with machine vision technology. Courtesy of the University of Waterloo.
A demonstration of an exoskeleton system equipped with machine vision technology. Courtesy of the University of Waterloo.

The next phase of the project, titled ExoNet, will involve sending instructions to the exoskeleton’s motors to climb stairs, avoid obstacles, or take other appropriate actions based on analysis of the user’s current movement and the upcoming terrain.

“Our control approach wouldn't necessarily require human thought,” said Laschowski, who is supervised by engineering professor John McPhee, the Canada Research Chair in Biomechatronic System Dynamics. “Similar to autonomous cars that drive themselves, we’re designing autonomous exoskeletons and prosthetic legs that walk for themselves.”

The researchers are also working to improve the energy efficiency of the motors for robotic exoskeletons and prostheses by using human motion to self-charge the batteries.

The research was published in IEEE Transactions on Medical Robotics and Bionics (www.doi.org/10.1109/TMRB.2021.3058323).

Vision-Spectra.com
Mar 2021
GLOSSARY
machine vision
Interpretation of an image of an object or scene through the use of optical noncontact sensing mechanisms for the purpose of obtaining information and/or controlling machines or processes.
artificial intelligence
The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning and problem solving.
Research & Technologymachine visionexoskeletonwalkingprostheticprosthetic limbprosthetic legcamerasartificial intelligenceAIUniversity of WaterlooIEEEIEEE Transactions on Medical Robotics and Bionicsrobotics

Comments
Submit a Feature Article Submit a Press Release
Terms & Conditions Privacy Policy About Us Contact Us
Facebook Twitter Instagram LinkedIn YouTube RSS
©2021 Photonics Media, 100 West St., Pittsfield, MA, 01201 USA, [email protected]

Photonics Media, Laurin Publishing
x We deliver – right to your inbox. Subscribe FREE to our newsletters.
We use cookies to improve user experience and analyze our website traffic as stated in our Privacy Policy. By using this website, you agree to the use of cookies unless you have disabled them.