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This data-set was used for the localization of an emitter based on Time Difference of Arrival (TDoA).
The classical least-squares (LS) algorithm, with a limited number of TDoA measurements, has been utilized for obtaining a closed-form solution to the source localization problem.
An extension of the classical LS algorithm has been employed in an attempt to improve the precision of the localization technique by using a larger set of TDoA estimates.
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This dataset contains post-processed Pattern Reversal Visual Evoked Potential (PR-VEP) signals from 20 subjects, 12 males and 8 females between 24-28 years old. These signals are acquired with two different kinds of instruments: a new prototype based on Smart Glasses and a commercial device for PR-VEP.
For a detailed description of this dataset see accompanying publication "Pattern-Reversal Visual Evoked Potential on Smart Glasses" by Terracciano R., et al. IEEE Journal of Biomedical and Health Informatics 2019, 10.1109/JBHI.2019.2899774.
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This dataset includes beat-by-beat time-domain features extracted from 350 NIBP records which can be used to develop novel methods to estimate systolic blood pressure (SBP) and diastolic blood pressure (DBP).
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The bounding boxes of "Robust Visual Tracking Based on Adaptive Extraction and Enhancement of Correlation Filter" tracker on the whole OTB-2015 dataset.
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This data is very useful for reseacher. The chest displacement of human was measured remotely in three categories, high, low and normal breathing rates.
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