Health
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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## 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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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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