This is the data for paper "Environmental Context Prediction for Lower Limb Prostheses with Uncertainty Quantification" published on IEEE Transactions on Automation Science and Engineering, 2020. DOI: 10.1109/TASE.2020.2993399. For more details, please refer to 

  • Artificial Intelligence
  • Last Updated On: 
    Sun, 05/24/2020 - 08:57

    Analysis Data - Sample

  • Communications
  • Last Updated On: 
    Thu, 05/30/2019 - 11:27

    The "Dynamic Scenes" Dataset is provided for testing visual loop closure detection algorithms in highly dynamic scenes. It has a strong background in some crucial applications such as autonomous driving systems.

  • Transportation
  • Last Updated On: 
    Tue, 11/12/2019 - 10:38

    Our state of arousal can significantly affect our ability to make optimal decisions, judgments, and actions in real-world dynamic environments. The Yerkes-Dodson law, which posits an inverse-U relationship between arousal and task performance, suggests that there is a state of arousal that is optimal for behavioral performance in a given task. Here we show that we can use on-line neurofeedback to shift an individual's arousal from the right side of the Yerkes-Dodson curve to the left toward a state of improved performance.

  • Neuroscience
  • Last Updated On: 
    Mon, 03/04/2019 - 05:35

    Indoor location systems based on ultra-wideband (UWB) technology have become very popular in recent years following the introduction of a number of low-cost devices on the market capable of providing accurate distance measurements. Although promising, UWB devices also suffer from the classic problems found when working in indoor scenarios, especially when there is no a clear line-of-sight (LOS) between the emitter and the receiver, causing the estimation error to increase up to several meters.

  • Sensors
  • Last Updated On: 
    Sun, 02/02/2020 - 16:42

    A solenoid-operated valve with DC resistance of about 10.3 Ω was exposed to 50 % RH, its rated temperature of 80 °C, and powered at its rated voltage of 12 VDC. (Note: the valve was unrated with regards to relative humidity, RH.) Using Fourier transform infrared (FTIR) spectroscopy, the insulation material was found to be a combination of polystyrene and polyethylene terephthalate. The wire gauge was not disclosed in the valve information sheet.

  • Other
  • Last Updated On: 
    Fri, 01/18/2019 - 11:37

    Mobile Brain-Body Imaging (MoBI) technology was deployed at the Museo de Arte Contemporáneo (MARCO) in Monterrey, México, in an effort to collect Electroencefalographic (EEG) data from large numbers (N = ~1200) of participants and allow the study of the brain’s response to artistic stimuli, as part of the studies developed by University of Houston (TX, USA) and Tecnológico de Monterrey (MTY, México).

  • Neuroscience
  • Last Updated On: 
    Thu, 12/27/2018 - 12:23

    The dataset can be used for Brain MRI study for academic purpose only. Undersampling Masks can be used for random undersampling at different sampling rates. 

  • Brain
  • Last Updated On: 
    Tue, 12/25/2018 - 00:09

    DECA is widely used as a protocol to describe the fuel economy and battery load of vehicles. Meanwhile, Carsim is universally accepted as a reliable tool to analyze vehicle dynamics. Therefore, it is of great importance to simulate the DECA with Carsim and provide a proper way to measure the virtual fuel economy of vehicles. It may also contribute to explement related experiments. 

  • Transportation
  • Last Updated On: 
    Wed, 12/12/2018 - 10:04

    The Xuzhou dataset was collected by an airborne HYSPEX hyperspectral camera over the Xuzhou peri-urban site in November 2014. This dataset consists of 500 × 260 pixels, with a very high spatial resolution of 0.73 m/pixel. The number of spectral bands used in the experiment was 436, after removing the noisy bands ranging from 415 nm to 2508 nm.

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Wed, 10/09/2019 - 03:22