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The popularity of wearable physiological recording devices has opened up new possibilities for the assessment of personality traits in everyday life. Compared with traditional questionnaires or laboratory assessments, wearable device-based measurements can collect rich data about individual physiological activities in real-life situations without interfering with normal life, enabling a more comprehensive description of individual differences. The present study aimed to explore the assessment of individuals’ Big-Five personality traits by physiological signals in daily life situations.
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The popularity of wearable physiological recording devices has opened up new possibilities for the assessment of personality traits in everyday life. Compared with traditional questionnaires or laboratory assessments, wearable device-based measurements can collect rich data about individual physiological activities in real-life situations without interfering with normal life, enabling a more comprehensive description of individual differences. The present study aimed to explore the assessment of individuals’ Big-Five personality traits by physiological signals in daily life situations.
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765 Views
Five users aged 23, 25, 31, 42, and 46 participated in the experiment. The users sat comfortably in a chair. A green LED of 1 cm diameter was placed at a distance of about 1 meter from a person's eyes. EEG signals were recorded using g.USBAmp with 16 active electrodes. The users were stimulated with flickering LED lights with frequencies: 5 Hz, 6 Hz, 7 Hz, and 8 Hz. The stimulation lasted 30 seconds. The recorded signals were divided into the data used for training, the first 20 seconds, and the data used for testing, the next 10 seconds, for each signal.
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619 Views
Complete input impedance measurement of the Nexans 12G6 power cable, a shielded cable with 12 conductors of cross-section $\mathbf{6 \, mm^2}$. The impedance measurement is performed with the Keysight E4990A impedance analyzer and a custom-made measurment adapter described in the associted paper.
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17 Views
Dataset for Radar^2
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591 Views
Accurately obtaining the position of active transmitters within an indoor wireless network has promising applications in future wireless networks. However, due to the complex propagation phenomena experienced by signals indoors, classical model-based localization techniques present poor accuracy, and machine learning (ML) based positioning has a promising potential to deliver high accuracy localization services indoors.
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200 Views
This dataset is gathered for quadrotor tail-sitter UAV system identification and modeling by PolyU MAV/UAV Lab. Various operating conditions are recorded during the UAV hovering phase.
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422 Views
The picture shows the operation result of image security retrieval. The experiment was validated on five common data sets.
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138 Views
The following database contains over 25,000 records collected using the author's data glove while researching 16 static letters of the Polish Sign Language alphabet.
Data are readings from 10 piezoresistive sensors placed over the fingers of the hand expressed in ADC values.
Data are from 15 test subjects, each of whom performed each letter ten times
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13 Views
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