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.

  • Wearable Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Polona Caserman

    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.

  • Biomedical and Health Sciences
  • Neuroscience
  • Medical Imaging
  • Biophysiological Signals
  • Brain
  • Wearable Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Jesus G. Cruz-Garza, Justin A Brantley, Sho Nakagome, Kim Kontson, Dario Robleto, Jose L. Contreras-Vidal

    The files contain the research data. The noisy unprocessed audio data and processed audio data using the proposed speech enhancement method are uploaded. 

  • Standards Research Data
  • Wearable Sensing
  • Signal Processing
  • Last Updated On: 
    Thu, 05/09/2019 - 13:57

     A human-user study with ten healthy subjects provides this experimental setup. The experimental protocol consists in capturing kinematic data while subjects walk, with the donned H2 lower-limb exoskeleton, across seven experimental conditions: Subjects completed 7 trials each. There were 7 different trials, 3 with marks every 30, 45 and 60 cm on 3 separate 10 meter lanes.

  • Biomedical and Health Sciences
  • Wearable Sensing
  • Last Updated On: 
    Sat, 05/04/2019 - 17:25

    In robotic grasping and manipulation, force feedback is one of the most important factors. In the absence of force feedback, force control and compliant grasping is almost impossible. In this study a novel Vibrational Haptic feedback system is designed. The system gives individual digit awareness of a multipronged robotic gripper to the user.

  • Sensors
  • Health
  • Wearable Sensing
  • Digital signal processing
  • Last Updated On: 
    Mon, 03/25/2019 - 09:12

    AoT for Smart Society provides solutions of industry 4.0 standards in which contains custom-built multisensory wearable suit with cloud connectivity interfaced Artificial Intelligent techniques and Machine Learning algorithms in order to detect, to monitor and to analyze biofeedback control and visualization during human daily activities.

     

  • Sensors
  • Health
  • Wearable Sensing
  • Last Updated On: 
    Thu, 02/28/2019 - 05:26

    The dataset comprises motion sensor data of 19 daily and sports activities each performed by 8 subjects in their own style for 5 minutes. Five Xsens MTx units are used on the torso, arms, and legs.

  • Sensors
  • Wearable Sensing
  • Last Updated On: 
    Fri, 02/15/2019 - 08:57

    VideoSupplement "SEM-assisted (LVEM-assisted) isopotential mapping of dielectric charging of the nonwoven fabric structures using Sobel–Feldman operator (Sobel filter)" for our article in russian journal (translated in English). 

  • Standards Research Data
  • Arc Flash
  • Neuroscience
  • Sensors
  • Wearable Sensing
  • Last Updated On: 
    Mon, 12/31/2018 - 14:35

    Microfluidic Lab-on-a-dish (3D printing).

     

    O.V. Gradov group, INEPCP RAS, 2017-2018.

    https://vimeo.com/273508513

     

    Acknowledgements:

  • Image Fusion
  • Neuroscience
  • Biophysiological Signals
  • Sensors
  • Wearable Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Nasirov P.A., Gradov O.V.

    Wearable Inertial Measurement Units (IMU) measuring acceleration, earth magnetic field and gyroscopic measurements can be considered for capturing human skeletal postures in real time. This dataset contains IMU readings (accelerometer, magnetometer and gyroscope) for common shoulder exercises: extension- flexion and abduction-adduction and simultaneously measures VICON readings and Kinect readings.

  • Wearable Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Pubudu N. Pathirana, M. Sajeewani Karunarathne, Gareth L. Williams, Phan T. Nam, Hugh Durrant-Whyte

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