Wearable Sensing

The video demonstrates an accurate, low-latency body tracking approach for VR-based applications using Vive Trackers. Using a HTC Vive headset and Vive Trackers, an immersive VR experience, by animating the motions of the avatar as smoothly, rapidly and as accurately as possible, has been created. The user can see her from the first-person view.

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

    Recent advances in scalp electroencephalography (EEG) as a neuroimaging tool have now allowed researchers to overcome technical challenges and movement restrictions typical in traditional neuroimaging studies.  Fortunately, recent mobile EEG devices have enabled studies involving cognition and motor control in natural environments that require mobility, such as during art perception and production in a museum setting, and during locomotion tasks.

    1234 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Tue, 11/12/2019 - 10:38

    Vietnam Yellow Cattle plays an important role in beef production in developing countries. This kind of cows can adapt with monsoon-influenced tropical climate of Vietnam. Their body weights are range from 180 to 300 kg. Up to now, there is no work concerned to classify the behaviors of Vietnam yellow cows in order to improve the breeding efficiency. Raw acceleration data were collected from the cows on April 02-11, 2020 on a farm in Ngoc Nhi Village, Cam Lanh Commune, Ba Vi District, Hanoi City, Vietnam. The area of this camp is 3.5 hectares, and the cows are free to move around.

    20 views
  • Wearable Sensing
  • Last Updated On: 
    Fri, 07/03/2020 - 00:31

    This dataset presents the measurements corresponding to the article "Validation of a Velostat-Based Pressure Sensitive Mat for Center of Pressure Measurements". You will find the data corresponding to an affordable commercial mat, a Velostat-based mat prototype, and a commercial force platform. The results obtained in the above-mentioned article can be reproduced with them.

    85 views
  • Sensors
  • Last Updated On: 
    Fri, 06/26/2020 - 13:24

    Stair ambulation of 21 healthy subjects collected in Monash University for validating gait phase detection algorithms. raw text files and matlab data files are included. 

    33 views
  • Wearable Sensing
  • Last Updated On: 
    Sat, 06/13/2020 - 13:48

        

    Dataset used for "A Machine Learning Approach for Wi-Fi RTT Ranging" paper (ION ITM 2019). The dataset includes almost 30,000 Wi-Fi RTT (FTM) raw channel measurements from real-life client and access points, from an office environment. This data can be used for Time of Arrival (ToA), ranging, positioning, navigation and other types of research in Wi-Fi indoor location. The zip file includes a README file, a CSV file with the dataset and several Matlab functions to help the user plot the data and demonstrate how to estimate the range.

    239 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 06/08/2020 - 03:50

    This dataset contains cardiovascular data recorded during progressive exsanguination in a porcine model of hemorrhage. Both wearable and catheter-based sensors were used to capture cardiovascular function; the wearable system contained a fusion of ECG, SCG, and PPG sensors while the catheter-based system was comprised of pressure catheters in the aortic arch, femoral artery, and right and left atria via a Swan-Ganz catheter.

    70 views
  • Machine Learning
  • Last Updated On: 
    Fri, 06/05/2020 - 14:48

    This repository introduces a novel dataset for the classification of Chronic Obstructive Pulmonary Disease (COPD) patients and Healthy Controls. The Exasens dataset includes demographic information on 4 groups of saliva samples (COPD-HC-Asthma-Infected) collected in the frame of a joint research project, Exasens (https://www.leibniz-healthtech.de/en/research/projects/bmbf-project-exasens/), at the Research Center Borstel, BioMaterialBank Nord (Borstel, Germany).

    282 views
  • Artificial Intelligence
  • Last Updated On: 
    Thu, 05/28/2020 - 11:18

    The data set is collected from MyNeuroHealth Application developed for the detection of Seizures and Falls. Data is gathered using tri-axial accelerometer placed at the upper left arm of an individual in an unconstraint environment.

    164 views
  • IoT
  • Last Updated On: 
    Sat, 05/23/2020 - 02:19

    This dataset provides the magneto-inertial signals from six MIMU (2 Xsens, 2 APDM, 2 Shimmer) and orientation from 8 reflective markers (VICON) at 3 different speeds (slow, medium, fast). Proprietary orientations from MIMU vendors are also included. All data are synchronized at 100 Hz.

    71 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 05/04/2020 - 12:43

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