AMACS  Automatic monitoring of Actitiviies of Daily Living using Contactless Sensors
Research project in collaboration between the following knowledge centers: K.H.Kempen - K.U.Leuven - CETIC - Lessius - Fontys


A concluding symposium will be organised on Friday January 31, 2014. More information on the symposium page.


This website provides an overview of the research activities of the Era-SME project AMACS. It is funded by the 7th R&D EU Framework Programme under the ERA-NET scheme, meaning that the project is funded by the respective national funding programmes: IWT (Belgium/Flanders), SPW (Belgium/Walloon).

This research is carried out in a cooperation of K.H.Kempen, K.U.Leuven, CETIC, Lessius and Fontys. The goal of the project is to develop a system that allows to automatically montior activities of daily living using video cameras, sensors that measure the consumption of public utilities and movement sensors.


The ongoing aging in our modern society leads to the tendency to allow older persons to stay as long as possible in their home environment. Although they are mainly able to independently organize themselves, it is for a certain group nevertheless necessary to observe their activities of daily living (ADL). Examples of such activities include sleeping, cooking, making a phone call, visiting the toilet, washing etc.

Overview AMACS project
Overview of the AMACS system.

Short Description

Based on this automatic detection of ADL, we want to be able to detect changes in the behavior, i.e. changes in these ADL patterns. These changes include both acute and gradual changes. Acute changes are abnormal events that are critical and require an immediate alarm. Examples of such abnormal events include for instance fall incidents; water or gas that keeps running or sudden general absence of activity. On the other hand, we also want to detect gradual changes. These changes are important for an early detection of problems such as (early stage) dementia. Examples of such changes are sleeping disorders, ADL decline and behavioral disturbances. The information about these activities and changes in behavior can then be presented to the caregivers (including family members) to adapt older people's care plans, and as a consequence, increase their quality of care and quality of life. Hence allowing them to stay longer at their homes.

Although the goal of this project is to develop a system that helps community dwelling elderly, the results are generic of nature. At the final stage of the project, we will, as an example, study the usability of the system for people with Chronic Fatigue Syndrome (CFS). But other target groups can be considered as well. The system might be useful in the monitoring and/or treatment of other groups such as patients suffering from Chronic Obstructive Pulmonary Disease (COPD), depression or non-congenital brain disorders (post trauma or post CVA patients). Diminished activity in the home environment might indicate a decrease in the health status of those people.

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