Task Completion Rate

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The Experts below are selected from a list of 3873 Experts worldwide ranked by ideXlab platform

Yang Wang - One of the best experts on this subject based on the ideXlab platform.

Nata Miccael Barbosa - One of the best experts on this subject based on the ideXlab platform.

Jordan Hayes - One of the best experts on this subject based on the ideXlab platform.

Dario Farina - One of the best experts on this subject based on the ideXlab platform.

  • A state-based, proportional myoelectric control method: online validation and comparison with the clinical state-of-the-art
    Journal of NeuroEngineering and Rehabilitation, 2014
    Co-Authors: Ning Jiang, Thomas Lorrain, Dario Farina
    Abstract:

    Background Current clinical myoelectric systems provide unnatural prosthesis control, with limited functionality. In this study, we propose a proportional state-based control method, which allows switching between functions in a more natural and intuitive way than the traditional co-contraction switch method. Methods We validated the ability of the proposed system to provide precise control in both position and velocity modes. Two tests were performed with online visual feedback, involving target reaching and direct force control in grasping. The performance of the system was evaluated both on a subject with limb deficiency and in 9 intact-limbed subjects, controlling two degrees of freedom (DoF) of the hand and wrist. Results The system allowed Completion of the Tasks involving 1-DoF with Task Completion Rate >96% and of those involving 2-DoF with Completion Rate >91%. When compared with the clinical/industrial state-of-the-art approach and with a classic pattern recognition approach, the proposed method significantly improved the performance in the 2-DoF Tasks. The Completion Rate in grasping force control was >97% on average. Conclusions These results indicate that, using the proposed system, subjects were successfully able to opeRate two DoFs, and to achieve precise force control in grasping. Thus, the proposed state-based method could be a suitable alternative for commercial myoelectric devices, providing reliable and intuitive control of two DoFs.

  • intuitive online simultaneous and proportional myoelectric control over two degrees of freedom in upper limb amputees
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2014
    Co-Authors: Ning Jiang, Hubertus Rehbaum, Ivan Vujaklija, Bernhard Graimann, Dario Farina
    Abstract:

    We propose an approach for online simultaneous and proportional myoelectric control of two degrees-of-freedom (DoF) of the wrist, using surface electromyographic signals. The method is based on the nonnegative matrix factorization (NMF) of the wrist muscle activation to extract low-dimensional control signals translated by the user into kinematic variables. This procedure does not need a training set of signals for which the kinematics is known (labeled dataset) and is thus unsupervised (although it requires an initial calibration without labeled signals). The estimated control signals using NMF are used to directly control two DoFs of wrist. The method was tested on seven subjects with upper limb deficiency and on seven able-bodied subjects. The subjects performed online control of a virtual object with two DoFs to achieve goal-oriented Tasks. The performance of the two subject groups, measured as the Task Completion Rate, Task Completion time, and execution efficiency, was not statistically different. The approach was compared, and demonstRated to be superior to the online control by the industrial state-of-the-art approach. These results show that this new approach, which has several advantages over the previous myoelectric prosthetic control systems, has the potential of providing intuitive and dexterous control of artificial limbs for amputees.

Oleg Lodygensky - One of the best experts on this subject based on the ideXlab platform.

  • SpeQuloS: a QoS service for hybrid and elastic computing infrastructures
    Cluster Computing, 2014
    Co-Authors: Simon Delamare, Derrick Kondo, Gilles Fedak, Oleg Lodygensky
    Abstract:

    The large choice of Distributed Computing Infrastructures (DCIs) available allows users to select and combine their preferred architectures amongst Clusters, Grids, Clouds, Desktop Grids and more. In these hybrid DCIs, elasticity is emerging as a key property. In elastic infrastructures, resources available to execute application continuously vary, either because of application requirements or because of constraints on the infrastructure, such as node volatility. In the former case, there is no guarantee that the computing resources will remain available during the entire execution of an application. In this paper, we show that Bag-of-Tasks (BoT) execution on these “Best-Effort” infrastructures suffer from a drop of the Task Completion Rate at the end of the execution. The SpeQuloS service presented in this paper improves the Quality of Service (QoS) of BoT applications executed on hybrid and elastic infrastructures. SpeQuloS monitors the execution of the BoT, and dynamically supplies fast and reliable Cloud resources when the critical part of the BoT is executed. SpeQuloS offers several features to hybrid DCIs users, such as estimating Completion time and execution speedup. Performance evaluation shows that BoT executions can be acceleRated by a factor 2, while offloading less than 2.5 % of the workload to the Cloud. We report on several scenarios where SpeQuloS is deployed on hybrid infrastructures featuring a large variety of infrastructures combinations. In the context of the European Desktop Grid Initiative (EDGI), SpeQuloS is opeRated to improve QoS of Desktop Grids using resources from private Clouds. We present a use case where SpeQuloS uses both EC2 regular and spot instances to decrease the cost of computation while preserving a similar QoS level. Finally, in the last scenario SpeQuloS allows to optimize Grid5000 resources utilization.

  • SpeQuloS: A QoS Service for BoT Applications Using Best Effort Distributed Computing Infrastructures
    2012
    Co-Authors: Simon Delamare, Derrick Kondo, Gilles Fedak, Oleg Lodygensky
    Abstract:

    Exploitation of Best Effort Distributed Computing Infras- tructures (BE-DCIs) allow operators to maximize the uti- lization of the infrastructures, and users to access the un- used resources at relatively low cost. Because providers do not guarantee that the computing resources remain available to the user during the entire execution of their applications, they offer a diminished Quality of Service (QoS) compared to traditional infrastructures. Pro ling the execution of Bag-of-Tasks (BoT) applications on several kinds of BE-DCIs demonstRates that their Task Completion Rate drops near the end of the execution. In this paper, we present the SpeQuloS service which en- hances the QoS of BoT applications executed on BE-DCIs by reducing the execution time, improving its stability, and reporting to users a predicted Completion time. SpeQuloS monitors the execution of the BoT on the BE-DCIs, and dynamically supplies fast and reliable Cloud resources when the critical part of the BoT is executed. We present the design and development of the framework and several stRategies to decide when and how Cloud resources should be provisioned. Performance evaluation using simulations shows that SpeQuloS ful ll its objectives. It speeds-up the execution of BoTs, in the best cases by a factor greater than 2, while offloading less than 2.5% of the workload to the Cloud. We report on preliminary results after a complex deployment as part of the European Desktop Grid Infrastructure.