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with an application developed for this purpose, allows the visualization and storage of
the received data. Figure 3 illustrates the main interface of the referred android app.
Figure 3. Android app to visualize and record ambient sensors data.
In order to associate sleep structure with environment data, our multisensor
monitoring system considers an activity wristband, Fitbit Charge 2, which uses a triaxial
accelerometer and a heart rate sensor to estimate sleep structure.
3.1. Machine Learning profiling and Decision Support from Environment Attributes
After the collection of sleep data, machine learning workflows are trained with the
intention to detect the quality sleep and will be used in later stages as input to a decision
support system to improve people wellbeing. The input attributes are found in the
database and collected from a multiple number of sensors. The strategy is to find good
decision models based on rule inference and extract attribute conditions learnt from those
models and offer reports to the user and store the data in person specific profiles in the
database, Figure 4.
The attributes used are taken from environment and physical activity in order to add
context to a data series which is used in common machine learning algorithms. The time
series data are built with a data pre-processing stage following best practices from the
CRISP-DM methodology [14]. Moving averages are built on top of original data to
accommodate averages from data from the last 15 min and the last 30 min.
From rule-based machine learning models, there is a creation of a list of attributes
conditions, that can classify data instances. Such rules will be explored to perceive the
environment characteristics that affect test subjects in their specific environment. It is
expected that different test subjects and different environment produce different results.
Reports to the users are made via direct notification to smartphone app.
C.Gonçalvesetal. /MultisensorMonitoringSystem
toEstablishCorrelations30
Intelligent Environments 2019
Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Title
- Intelligent Environments 2019
- Subtitle
- Workshop Proceedings of the 15th International Conference on Intelligent Environments
- Authors
- Andrés Muñoz
- Sofia Ouhbi
- Wolfgang Minker
- Loubna Echabbi
- Miguel Navarro-CĂa
- Publisher
- IOS Press BV
- Date
- 2019
- Language
- German
- License
- CC BY-NC 4.0
- ISBN
- 978-1-61499-983-6
- Size
- 16.0 x 24.0 cm
- Pages
- 416
- Category
- Tagungsbände