These data is used to test the performance of the proposed in-motion inital alignment method.

 

These data includes the raw data of inertial measurement units, the raw data of GPS and the reference attitude angles.

All these data is simulated.

The frequency of inertial measurement units and GPS are 100Hz and 1Hz, respectively.

The data are explained below:

imu=[gryo;acc;time]       Unit is rad; m/s; s

GPS=[lat;lon;height;ve;vn;vu]; Unit is rad; rad; m; m/s; m/s; m/s

Ref_angle=[pitch;roll;yaw];      Unit is rad; rad; rad

 

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The dielectric spectroscopy data was obtained to characterize the dielectric responses and calculate the dielectric loss in the FEM model. The complex dielectric permittivity was measured with the Novocontrol Concept 80 broadband dielectric spectrometer. Silver electrode with a diameter of 30 mm was prepared on both sides of the sample by sputtering. The temperature range in this experiment was from -30 to 150 °C with an interval of 10 °C. The frequency range was from 1 Hz to 1 MHz.

 

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20 Views

Opportunity++ is a precisely annotated dataset designed to support AI and machine learning research focused on the multimodal perception and learning of human activities (e.g. short actions, gestures, modes of locomotion, higher-level behavior).

Instructions: 

Complete documentation is provided in the readme.

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213 Views

This dataset contains actual field/experimental data for the following environmental engineering applications, namely:

  • Concentration data generated from filtration systems which treat influents, having contaminant materials, via adsorption process.
  • Streamflow height data collated for 50 states/cities in America for the historical period between 1900-2018.
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141 Views

Opportunity++ is a precisely annotated dataset designed to support AI and machine learning research focused on the multimodal perception and learning of human activities (e.g. short actions, gestures, modes of locomotion, higher-level behavior).

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256 Views

The growth of the need for quantum computers in many domains such as machine learning, numerical scientific simulation and finance has necessitated that quantum computers produce stable results. However, mitigating the impact of the noise inside each quantum device presents an immediate challenge. In this paper, we investigate the temporal behavior of noisy intermediate-scale quantum (NISQ) computers based on calibration data and the characteristics of individual devices.

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The UBFC-Phys dataset is a public multimodal dataset dedicated to psychophysiological studies. 56 participants followed a three-step experience where they lived social stress through a rest task T1, a speech task T2 and an arithmetic task T3. During the experience, the participants were filmed and were wearing a wristband that measured their Blood Volume Pulse (BVP) and ElectroDermal Activity (EDA) signals. Before the experience started and once it finished, the participants filled a form allowing to compute their self-reported anxiety scores.

Instructions: 

Please find more details about the UBFC-Phys dataset's organization in the READ_ME file.

If you use this dataset, please cite the following paper:

 

R. Meziati Sabour, Y. Benezeth, P. De Oliveira, J. Chappé, F. Yang. "UBFC-Phys: A Multimodal Database For Psychophysiological Studies Of Social Stress", IEEE Transactions on Affective Computing, 2021.

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4012 Views