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Amii HQ

10065 Jasper Ave

#1101

Edmonton, AB T5J 3B1

Canada

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Please note: the November AI Meetup will be hosted at Amii HQ.


Amii’s monthly meetup brings together the brightest minds in Edmonton’s AI community.

Discuss the latest topics in AI and machine learning, learn about the latest tools and techniques in machine learning, discover how companies are using AI to drive value, and network with thought leaders from Amii, local AI companies, service providers, and corporate labs.


Presenters for this month include:

Eric Wells & Mark Sherstan – BLINC Lab & University of Alberta

Although there are many multifunctional hands available for prosthesis use, commercial devices are unable to utilize them largely due to restricted control interfaces. Recent research has focused on improving pattern recognition algorithms to decode electromyographic signals (EMG) into multi degree of freedom movements to enable more robust control. Although results are promising in laboratory conditions, this technique has been unable to be transferred into commercial devices. This is largely due to current surface mounted EMG sensors having inherent unpredictable issues that affect the algorithm’s performance such as cross-talk, electrical interference, muscle fatigue effects, perspiration effects, and skin impedance. An alternative to this technology for use in prosthetics is force myography (FMG). This technology seeks to exploit the deformation resulting from residual muscle movement to obtain prosthesis control. This is typically done in a very similar manner to EMG, however instead of measuring electrical activity, an array of pressure sensors wrapped around the user’s arm measures muscle deformation. The measured sensor values act as inputs into a pattern recognition algorithm to predict the desired motions from the user. A FMG sensor and algorithm package was optimized to implement robust, real time control of a simulated prosthetic device. Two iterations of prototyping have been achieved, with the second design resulting in a wireless, low profile wristband containing 11 FSR sensors and an IMU capable of sampling reliably at 200 Hz.


David Ferris – Jobber/Product Edmonton

[Description coming soon]

Join us for Amii’s monthly AI Meetup and be a part of building Edmonton’s growing AI community!

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Amii HQ

10065 Jasper Ave

#1101

Edmonton, AB T5J 3B1

Canada

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