Sensors

This repository contains ROS bags with measurements related to the article "Forklift Positioning System for Pallet Tracking in Industrial Environments". The dataset includes measurements from UWB tags, IMU, Magnetometer and Px4Flow simulated in Gazebo. Also includes the position estimations calculated using the algorithm described in the related paper. 

  • Sensors
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Valentin Barral Vales, Pedro Suarez Casal, Carlos J. Escudero, Jose A. Garcia Naya

    This repository contains a data base of Cell Signal Quality samples obtained from 4 COTS cellphones. Data shows the dynamics of the cellular signal, and how these can be affected by the presence of human body nearby.

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Stefano Savazzi

    This RSSI Dataset is a comprehensive set of Received Signal Strength Indicator (RSSI) readings gathered from within three different types of scenarios. Three wireless technologies were used which consisted of:

    • WiFi (IEEE 802.11n 2.4GHz band)
    • Bluetooth Low Energy (BLE) and
    • Zigbee (IEEE 802.15.4)

    For the experimentation, the equipment utilized consisted of Raspberry Pi 3 Model Bs, Gimbal Series 10 Beacons, and Series 2 Xbees with Arduino Uno microcontrollers.

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Sebastian Sadowski, Petros Spachos

    This is the maintenance service dataset collected in a smart water dispenser company in the year of 2017. 

     

     

  • Sensors
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Pai Zheng, Zuoxu Wang, Suiyue Shang, Chun-Hsien Chen

    The electronic system has been design to know the position human body. Of this way the system use a three axis accelerometer to detect five common positions (i) ventral decubitus, (ii) right lateral decubitus, (iii) left lateral decubitus, (iv) supine decubitus and (v) seated.  The sensor data was acquire with ten diferrents persons, their each positions was  how they felt confortable. The accelerometer acquire data from  3 axis possible (X,Y,Z)

  • Health
  • Last Updated On: 
    Sat, 06/16/2018 - 22:57

    The impact of high curvature bending on thin film transistor(TFT) performance is of interest for flexible electronics. Bending influences TFT performance in two ways. First due to mechanical stress and second due to the pure geometric effect of converting a planar architecture to a cylindrical one. Experiments to simultaneously create and yet distinguish these two effects are difficult. Analytical models are required to identify the individual impact of stress and geometry. The goal of this work is to identify the purely geometrical impact on TFT characteristics.

  • Sensors
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Prasenjit Bhattacharya, Aswathi Nair, Sanjiv Sambandan

    Pressure position sensors and actuators are represented by red large and blue circles on the seating, respectively. Black circles display ultrasound sensors in the backrest, yellow arrows show output peripheral, and red arrows indicate peripheral input into the analog-digital converter.S1= Preasure sensor, value 0-1023 decimalS2= Preasure sensor, value 0-1023 decimalS3= Preasure sensor, value 0-1023 decimalS4= Ultrasonic sensor, value 0-15 cm

  • Sensors
  • Last Updated On: 
    Mon, 08/06/2018 - 11:40

    # .PCD v0.7 - Point Cloud Data file format
    VERSION 0.7
    FIELDS x y z rgb
    SIZE 4 4 4 4
    TYPE F F F F
    COUNT 1 1 1 1
    WIDTH 2057209
    HEIGHT 1
    VIEWPOINT 0 0 0 1 0 0 0
    POINTS 2057209
    DATA ascii

     
     
     
    # .PCD v0.7 - Point Cloud Data file format
    VERSION 0.7
    FIELDS x y z rgb
    SIZE 4 4 4 4
    TYPE F F F F
    COUNT 1 1 1 1
    WIDTH 921568
    HEIGHT 1
    VIEWPOINT 0 0 0 1 0 0 0
    POINTS 921568
    DATA ascii

  • Sensors
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Dorit Borrmann, Jan Elseberg

    High-fidelity, physics-based multichannel radar data cube provided by the DARPA KASSPER project. This data is ideal for analyzing space-time adaptive processing (STAP) algorithms since both sample data and truth data are provided.

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    J. S. Bergin, J. R. Guerci

    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). 

  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Walid Gomaa, Reda Elbasiony

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