Ambient Assisted Living Bayesian network
Recent demographic analyzes show that the average life span of the population is lengthening. This will lead to an increase in users in health facilities with repercussions on the quality of services.
Ambient Assisted Living (AAL) is a European project for the development of new non-invasive technologies allowing the monitoring of the daily activities of the elderly in the home environment, guaranteeing a prolonged independent lifestyle.
This work aims to design and develop a predictive model based on the measurements provided by four sensors installed on the subjects.
Dataset
You can download the dataset from here (http://groupware.les.inf.puc-rio.br/static/har/dataset-har-PUC-Rio-ugulino.zip).
The page where you can find both the papers and the dataset is this (http://groupware.les.inf.puc-rio.br/har).
The dataset consists of 165,633 surveys that were carried out on four people of different ages and sex, for a total of two hours of measurements for each. We group the features present within the dataset into three types:
