Signal Processing
<p><span style="font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; border: none windowtext 1.0pt; mso-border-alt: none windowtext 0in; padding: 0in; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Many neurophysiological measurements are affected by mental state tasks.
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For the data acquisition we used JINS MEME smart glasses -- a device furnished with three-point EOG and six-axis inertial measurement unit (IMU) with an accelerometer and a gyroscope. The sampling frequency of the acquired signals is 100 Hz. The data are transmitted to a computer via Bluetooth or USB and can be exported to CSV file.
Data were acquired under real road conditions from 30 healthy subjects, including twenty experienced drivers and ten students attending a driving school. 16 males and 14 females with average age = 38 +-17 participated in the study.
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530 Views
Dataset for Radar^2
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734 Views
*** The paper published on Multimedia Tools and Applications (Springer) - 2024 ***
*** Title: "SPRITZ-PS: Vlaidation of Synthetic Face Images Using A Large Dataset of Printed Docuemnts"***
*** Authors: Ehsan Nowroozi, Yoosef Habibi, and Mauro Conti ***
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769 Views
Industrial drying processes are an energy extensive and often one of the most time consuming processes in a manufacturing line. Optimizing the drying process can therefore lead to a reducing in energy consumption and an increase in manufacturing throughput.
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501 Views
A Chinese character gesture dataset for 8 Chinese characters ( “国”，“图”，“木”，“工”，“口”，“中”，“国”，“人” ) .Datasets were collected in three different environments.
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173 Views
Ocean Data.
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99 Views
Ground Penetrating Radar (GPR) has a wide range of applications such as detection of buried mines, pipes and wires. GPR has been used as a near-surface remote sensing technique, and its working principle is based on electromagnetic (EM) wave theory. Here proposed data set is meant for data driven surrogate modelling based Buried Object Characterization. The considered problem of estimating geophysical parameters of a buried object is 2D. The training and testing scenarios include B-scan images (2D data), which contain 16 pairs of A-scan (concatenated forms of A-scans).
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880 Views
This is the base data for paper "An Intelligent Recognition Method of a Short-Gap Arc in Aviation Cables Based on Feature Weight Enhancement".
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The data is divided into a training set of 999 images and a test set of 335 images. The size of each 2D ultrasound image is 800 by 540 pixels with a pixel size ranging from 0.052 to 0.326 mm. The pixel size for each image can be found in the csv files: ‘training_set_pixel_size_and_HC.csv’ and ‘test_set_pixel_size.csv’. The training set also includes an image with the manual annotation of the head circumference for each HC, which was made by a trained sonographer.
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1045 Views