A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Sort by citations Sort by year Sort by title. These predictive knowledge architectures are learned incrementally and online, through interaction with the environment. Sort.

Based on the quality and frequency of confirmatory data points, this metric represents the likelihood that a contact is employed where we say they are and that it is possible to reach them via emailMike Dawson Birding in the River Valley with Mike Dawson Mike Dawson - birdwatcher extraordinaire and Professor in the Department of Psychology atFrom Dr. Michael Dawson of the University of Alberta .University of Alberta has added information to its This article describes the myoelectric training sy...As a contribution toward the goal of adaptable, intelligent artificial limbs, this work introduces a continuous actor-critic reinforcement learning method for optimizing the control of multi-function myoelectric devices. To compare sensory o...Purpose (DOCX)Qualitative survey questionnaire. m***@ualberta.ca. This largely nonconscious kinesthetic sense helps the brain to learn relationships between motor commands and outcomes to correct movement errors. Myoelectric prostheses currently used by amputees can be difficult to control. Michael RW Dawson 2 views. UniversityofAlberta Recommended for you. In this work, we outline how new methods in real-time prediction learning provide an approach to one of the principal open problems in multi-function myoelectric control—robust, ongoing,...A general problem for human-machine interaction occurs when a machine's controllable dimensions outnumber the control channels available to its human user. Modified from the OPUS Satisfaction with Device Score (38).

Michael Sharp is one of the worst professors I've ever had the displeasure of having.

The University of Alberta in Edmonton is one of Canada's top teaching and research universities, with an international reputation for excellence across the humanities, sciences, creative arts, business, engineering, and health sciences. A lack of wrist movement in prostheses due to mechanical design and control system considerations compels prosthetic users to employ compensatory movements using their upper back and shoulder that can eventually result in strain and overuse in...Predictive approaches to modelling the environment have seen recent successes in robotics and other long-lived applications. Structured interviews with clinicians and patients with hand impairment were carried out and the results were tabulated. In this work, we examine one prominent example of this problem: amputee switching between the multiple functions of a powered artificial limb. Machine learning, and in particular learned predictions about user intent, could help to reduce the time and cognitive load required by amputees while operating their prosthetic device. Cited by. By using electromyography (EMG) electrodes attached to the surface of the skin, amputees are able to control motors in myoelectric prostheses by voluntarily contracting the muscles of their residual...Myoelectric prostheses aim to restore the functionality of amputated limbs and improve the quality of life of amputees. application to prosthetics. Michael RW Dawson. Michael R. W. Dawson at University of Alberta is an expert in Artificial intelligence, Artificial neural networks, Behavior based robots, Computer simulations, Knowledge representation, Machine learning, Modeling and simulation and Philosophy of cognitive science However, the choice of force sensor, feedback location, and experimental apparatus typically vary between research studies, making it challenging to compare result...Novel multi-modal and closed-loop myoelectric control strategies may yield more robust, capable prostheses which improve quality of life for those affected by upper-limb loss. – A design of experiments (DOE) test protocol was applied to determine the effect of the following variables on the material properties of 3D printed part: layer height, per cent infill a...Background: All rights reserved.Worked directly with clinicians and researchers on engineering projects related to prosthetics and orthotics at the Glenrose Rehabilitation Hospital (P&O/Research department) and University of Alberta (BLINC Lab).After I finished my MSc I was hired on as an RA to continue development of the myoelectric training tool towards clinical translation. The aim of this study is to evaluate...Background: The use of intraoperative somatosensory evoked potentials on individual fascicles of the median and ulnar nerves allowed us to specifically target sensory fascicles to...In this work we explore the use of reinforcement learning (RL) to help with One challenge for applications of predictive knowledge is the necessity of tuning feature representation...The goal of this study was to identify design criteria for the development of an assistive powered hand exoskeleton by consulting with potential end users. 360° 3:13. However, literature shows little consistency in the vibration parameters or body positioning used, and their effect...We present a case study of a novel variation of the targeted sensory reinnervation technique that provides additional control over sensory restoration after transhumeral amputation.

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