Health
For a detailed describtion of this dataset see accompanying publication "Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms" by Kaisti M., et al. IEEE Sensors 2018, 10.1109/JSEN.2018.2874706. This datasets consists of 29 mechanocardiogram recordings with ECG reference from healthy subjects in supine position. All data were recorded with sensors attached to the sternum using double-sided tape. Mechanocardigrams incude 3-axis accelorometer signals (seismocardiograms) and 3-axis gyroscope signals (gyrocardiograms).
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2563 Views
Videomicroscopic Semi-Shadow Visualization of LoC-Si (Lab-on-a-Chip_[based_on]_Silicone) test structures from Institute of Molecular Electronics (D. Shevchenko; founder of Scientific and Production Association "Microbiotechniques" Ltd.) and Russian Academy of Sciences (INEPCP RAS; ICP RAS)
Vis. Tech.: MBS-10 Binocular Stereoscopic Microscope; Indirect Angular Illumination.
Found.: Initiative project (D. Shevchenko, O. Gradov; 2015-2016)
Fab.: JSC “Voskhod” KRLZ*
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205 Views
BMI Involvement when a person walks on the different surfaces of a building while he/she wants to get out of it in a specific survival time using graph theory to simulate the ways of a building.
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244 Views
This data set is an example data set for the data set used in the experiment of the paper "A Multilevel Analysis and Hybrid Forecasting Algorithm for Long Short-term Step Data". It contains two parts of hourly step data and daily step data, each with 500 rows of data. The data has been desensitized. A complete data set can be added depending on the review condition.
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381 Views
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)
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1599 Views
## FEDERAL UNIVERSITY OF BAHIA (UFBA)
## ATYIMOLAB (www.atyimolab.ufba.br)
## University College London (UCL)
## Denaxas Lab (www.denaxaslab.org)
## Robespierre Pita and Clicia Pinto and Marcos Barreto and Spiros Denaxas
/*
@(#)File: $atyimo_dataset_info.txt$
@(#)Version: $v1$
@(#)Last changed: $Date: 2017/12/04 12:00:00 $
@(#)Purpose: Example data sets for the AtyImo data linkage tool
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237 Views
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).
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1584 Views