Machine Interface

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The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform

Seungjin Choi - One of the best experts on this subject based on the ideXlab platform.

  • tongue rudder a glossokinetic potential based tongue Machine Interface
    IEEE Transactions on Biomedical Engineering, 2012
    Co-Authors: Qibin Zhao, Andrzej Cichocki, Seungjin Choi
    Abstract:

    Glossokinetic potentials (GKPs) are electric potential responses generated by tongue movement. In this study, we use these GKPs to automatically detect and estimate tongue positions, and develop a tongue-Machine Interface. We show that a specific configuration of electrode placement yields discriminative GKPs that vary depending on the direction of the tongue. We develop a linear model to determine the direction of tongue from GKPs, where we seek linear features that are robust to a baseline drift problem by maximizing the ratio of intertask covariance to intersession covariance. We apply our method to the task of wheelchair control, developing a tongue-Machine Interface for wheelchair control, referred to as tongue-rudder. A teeth clenching detection system, using electromyography, was also implemented in the system in order to assign teeth clenching as the stop command. Experiments on off-line cursor control and online wheelchair control confirm the unique advantages of our method, such as: 1) noninvasiveness, 2) fine controllability, and 3) ability to integrate with other EEG-based Interface systems.

Markus Obdenbusch - One of the best experts on this subject based on the ideXlab platform.

Heinz Wörn - One of the best experts on this subject based on the ideXlab platform.

  • An intuitive man-Machine Interface for robot control in craniofacial surgery
    ANALYSIS DESIGN AND EVALUATION OF HUMAN-MACHINE SYSTEMS 2001, 2002
    Co-Authors: David Engel, Joerg Raczkowsky, Heinz Wörn
    Abstract:

    The only way to establish a robot system in surgery is to obtain the\nacceptance of the surgeon. In order to achieve this, such a robot system\n- the safety of the system preconditioned - has to be easy to use. Since\nthe operator wants to use the robot as a kind of intelligent tool an\nintuitive man-Machine Interface is needed. The use of the system has to\nbe as easy as the use of a navigation system, for instance, which is\nalready successfully established in the surgical theatre. Furthermore\nthe man-Machine Interface must be able to detect application errors and\nprevent dangerous robot movements. This paper describes such an\nintuitive man-Machine Interface including major input device, force\ncontrolled robot guidance, system status feedback, and plausibility\ncheck. Copyright (C) 2001 IFAC.

Liu Zhong - One of the best experts on this subject based on the ideXlab platform.

  • Research on Support Decision System(SDS) of Optimum Matching of Man-Machine Interface in Mechanical Systems
    Journal of Beijing University of Aeronautics and Astronautics, 2000
    Co-Authors: Liu Zhong
    Abstract:

    Support decision system(SDS) of the optimum matching of man Machine Interface in mechanical systems is made by using the theory of SDS. The multi dimension adjustable simulator stand for the optimum matching of man Machine Interface in mechanical system has been structured with the use of Computer aided design (CAD) technology. This stand is made mainly up of frame, instrument panel, stage surface, pedestal and other components. It is able to simulate the man Machine Interface in various mechanical systems. The experiment evaluation for the degree of optimal matching of man Machine Interface in mechanical system can be realized by this stand. Method and model databases have been structured with the Analyses of hierarchy process (AHP) and Fuzzy comprehensive evaluation (FCE).According to this system ,the optimization of the initial choices can be well completed for its saving time ,man and source.

Hongwei Yao - One of the best experts on this subject based on the ideXlab platform.

  • Research on support decision system (SDS) of optimum matching of man-Machine Interface in mechanical systems
    Beijing Hangkong Hangtian Daxue Xuebao Journal of Beijing University of Aeronautics and Astronautics, 2000
    Co-Authors: Zhongbao Liu, Sujun Dong, Hongwei Yao
    Abstract:

    Support decision system (SDS) of the optimum matching of man-Machine Interface in mechanical systems is made by using the theory of SDS. The multi-dimension adjustable simulator stand for the optimum matching of man-Machine Interface in mechanical systems has been structured with the use of computer aided design (CAD) technology. This stand is mainly made up of frame, instrument panel, stage surface, pedestal and other components. It is able to simulate the man-Machine Interface in various mechanical systems. The experiment evaluation for the degree of optimal matching of man-Machine Interface in mechanical systems can be realized by this stand. Method and model databases have been structured with the analyses of hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE). According to this system, the optimization of the initial choices can be well completed for saving its time, man power and material sources.