Signal Processing

Electroencephalography (EEG) signal data was collected from twelve healthy subjects with no known musculoskeletal or neurological deficits (mean age 25.5 ± 3.7, 11 male, 1 female, 1 left handed, 11 right handed) using an EGI Geodesics© Hydrocel EEG 64-Channel spongeless sensor net. All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of the University of Wisconsin-Milwaukee (17.352).

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  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 11/12/2019 - 10:38

    These .s2p files contain the S-parameters measured between two on-neck antennas for multiple test subjects acting out four activites. Each files is one trial of measurement, containing 20 seconds of data sampled at 200 Hz.

    153 views
  • Wearable Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Visual tracking methods have achieved a successful development in recent years. Especially the Discriminative Correlation Filter (DCF) based methods have significantly advanced the state-of-the-art in tracking. The advancement in DCF tracking performance is predominantly attributed to powerful features and sophisticated online learning formulations. However, it would come to some troubles if the tracker learns the samples indiscriminately.

    127 views
  • Sensors
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    The CREATE database is composed of 14 hours of multimodal recordings from a mobile robotic platform based on the iRobot Create.

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  • Sensors
  • Last Updated On: 
    Fri, 10/05/2018 - 12:00

    The dataset is an extensive collection of labeled high-frequency Wi-Fi Radio Signal Strength (RSS) measurements corresponding to multiple hand gestures made near a smartphone under different spatial and data traffic scenarios. We open source the software code and an Android app (Winiff) to create this dataset, which is available at Github (https://github.com/mohaseeb/wisture). The dataset is created using an artificial traffic induction (between the phone and the access point) approach to enable useful and meaningful RSS value

    435 views
  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    This is the Smulation Data for Power System State Estimation.

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  • Power and Energy
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Abstract

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  • Signal Processing
  • Last Updated On: 
    Mon, 09/09/2019 - 17:11

    This is the source code (MATLAB) of the LTMBMCR feature.

     

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  • Signal Processing
  • Last Updated On: 
    Sat, 06/16/2018 - 23:19

    Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

    630 views
  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    This is the data competion hosted by the IEEE Machine Learning for Signal Processing (MLSP) Technical Committee as part of the 27th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), Tokyo, Japan. This year the competion is based on a dataset kindly provided Petroleum Geo-Systems (PGS), on source separation for seismic data acquistion. 

  • Sensors
  • Geo-Sensing
  • Signal Processing
  • Last Updated On: 
    Tue, 05/01/2018 - 15:07
    Citation Author(s): 
    IEEE MLSP Technical Committee

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