Synergistic prostheses enable the coordinated movement of the human-prosthetic arm, as required by activities of daily living. This is achieved by coupling the motion of the prosthesis to the human command, such as residual limb movement in motion-based interfaces. Previous studies demonstrated that developing human-prosthetic synergies in joint-space must consider individual motor behaviour and the intended task to be performed, requiring personalisation and task calibration.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 02/27/2020 - 10:17

    This dataset covers cellular communication signals in the SCF format. There is a total of 60000 signal instances, 36000 of them are reserved as training data and the rest is for the test. The SNR levels are between 1 dB and 15 dB.

  • Machine Learning
  • Last Updated On: 
    Mon, 01/20/2020 - 15:16

    It includes 312 ROIs. An ROI is a rectangular BMP image region. A rectangular image region  is located within a PDAC tumor region or within a HP region of a slice CT image. ROIs of 1-153 are PDAC, ROIs of 154:312 are HP.

  • Artificial Intelligence
  • Last Updated On: 
    Mon, 01/20/2020 - 03:59

    This data was used for the paper: J. Wang, P. Aubry, and A. Yarovoy, " Three-Dimensional Short-Range Imaging With Irregular MIMO Arrays Using NUFFT-Based Range Migration Algorithm", IEEE Transactions on Geoscience and Remote Sensing. It includes two synthetic electromagnetic datasets and one experimental measured data with multiple-input-multiple-output (MIMO) arrays.

  • Digital signal processing
  • Last Updated On: 
    Fri, 01/10/2020 - 11:56

    Accurate proportional myo-electric control of the hand is important in replicating dexterous manipulation in robot prostheses. Many studies in this field have focused on recording discrete hand gestures, while few have focused on the proportional and multiple-DOF control of the human hand using EMG signals. To aid researchers on advanced myoelectric hand control and estimation, we present this data from our work "Extraction of nonlinear muscle synergies for proportional and simultaneous estimation of finger kinematics".  

  • Biophysiological Signals
  • Last Updated On: 
    Mon, 01/13/2020 - 02:08

    The electric power system of a deep space vehicle is mission-critical, and needs to respond to faults intelligently and autonomously. 

    An algorithm to determine the optimal operation of such a system is presented in the paper: P. Kulkarni, D. Aliprantis, B. Loop and N. Wu, 'Autonomous Power Dispatch for a Deep Space Vehicle Power System,' Proc. 2020 IEEE Power and Energy Conf. at Illinois (PECI), Champaign, IL.

    This dataset contains the complete information about the system used in the case studies in this paper. 

  • Power and Energy
  • Last Updated On: 
    Sun, 12/29/2019 - 05:38

    The experimental measurement setup is performed in an anechoic chamber to secure the LOS transmission at the Millimeter Wave and Terahertz Technologies Research Laboratories (MILTAL), Scientific and Technological Research Council of Turkey (TUBİTAK), Kocaeli. The dimensions of anechoic chamber are 7m × 4m × 3m. The dataset includes channel impulse response in between 240GHz and 300GHz for the transmitter-receiver distance of 20cm, 30cm, 40cm, 60cm, and 80cm.

  • Signal Processing
  • Last Updated On: 
    Tue, 01/21/2020 - 14:54

    This dataset has 11 sets of feature data extracted with different signal-to-noise and a set of simulation results of modulation classification. Feature dataset consists of 2 novel features and 15 classic features, and dataset of simulation results represents the effectiveness of FS_DT-SSVM classifier.

    These data match the experimental data of the paper “Automatic Modulation Classification Based on Novel Feature Extraction Algorithms”.

  • Communications
  • Last Updated On: 
    Tue, 12/03/2019 - 22:12

    The bearing dataset  is acquired by the electrical engineering laboratory of Case Western Reserve University and published on the Bearing Data Center Website. The gearbox dataset  is from IEEE PHM Challenge Competition in 2009

  • Standards Research Data
  • Last Updated On: 
    Wed, 11/20/2019 - 03:31

    This dataset includes the measurements of a simulated vehicle inside a Gazebo simulation using different sensors: a simulated UWB tag, a IMU and a PX4Flow. 

  • Machine Learning
  • Last Updated On: 
    Sun, 02/02/2020 - 16:37