Browsing by Author "Scheme, Erik"

Now showing 1 - 4 of 4
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    A FLEXIBLE USER INTERFACE FOR RAPID PROTOTYPING OF ADVANCED REAL-TIME MYOELECTRIC CONTROL SCHEMES
    (2008) Scheme, Erik; Englehart, Kevin
    A recent emphasis on the advancement of upper limb prosthetics, due in part to the high number of injuries resulting from ongoing military conflicts, has accelerated research in the field of advanced prosthetics. One important aspect of the controls portion of this research is the ability to quickly transition from experimental algorithms to control schemes which can be used and tested in real time by end users. Herein, the authors introduce a powerful Matlab-based software package which facilitates rapid prototyping and testing of novel real-time control schemes. The ACE (Acquisition and Control Environment) application has recently been used as a research and clinical tool, helping to verify the viability of existing myoelectric control strategies, and is helping to accelerate the development of novel control schemes.
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    A VIRTUAL ENVIRONMENT ASSESSMENT OF A NOVEL PATTERN RECOGNITION BASED MYOELECTRIC CONTROL SCHEME
    (2008) Hargrove, Levi; Scheme, Erik; Englehart, Kevin; Hudgins, Bernie
    This work compared a novel pattern recognition based myoelectric control system to a system based on conventional control and another state of the art pattern recognition system. The results showed that the proposed system provides a more usable system as assessed qualitatively and quantitatively through a modified virtual clothespin test. Furthermore, the proposed system was designed to have an intuitive clinician interface and should help facilitate the acceptance of pattern recognition based myoelectric control systems in the clinic.
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    An Overview Of The UNB Hand System
    (2011) Losier, Yves; Clawson, Adam; Wilson, Adam; Scheme, Erik; Englehart, Kevin; Kyberd, Peter; Hudgins, Bernard
    In 2007, the University of New Brunswick’s (UNB) Institute of Biomedical Engineering (IBME) received funding from the Canadian government’s Atlantic Innovation Fund program to develop a commercially viable and technologically advanced prosthetic hand system. The 5-year project includes several collaborators namely, the Rehabilitation Institute of Chicago’s (RIC) BioMechatronics Development Laboratory, the Université de Moncton’s (UdeM) Thin Films and Photonics Research Group, UNB’s Applied Nanotechnology Laboratory (ANL), and Liberating Technologies Inc. The design of this new system, termed the UNB Hand System, aims at producing a compact, life-like and affordable hand with a novel cosmetic glove and sensors. The system utilizes a pattern recognition control system based on IBME’s previous and ongoing research in the myoelectric control field. This paper provides a general overview of the major components and characteristics of the system.
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    Resolving The Limb Position Effect
    (2011) Fougner, Anders; Scheme, Erik; Chan, Adrian D. C.; Englehart, Kevin; Stavdahl, Øyvind