Fear Elimination As Resolution for Loosing Elderly’s Substantial Sorrows



FEARLESS is a project designed to detect a wide range of risks with a singles sensor unit, enhancing mobility and enabling elderly to take active part in the self-serve society by reducing their fears. The potential dangers, which can be detected, include smoke/fire, flooding, falls or sudden changes in daily life caused by a deterioration of the health condition.

The overall aim of this project is the reduction of barriers, which impedes the mobility of elderly people, often suffering from dementia or light loss of cognitive activities. FEARLESS will not be perceived as surveillance system, but as emergency aid that enables an elderly people to keep self-confidence when it comes to dealing with every day challenges.

FEARLESS does not only enhances the mobility by reducing fears but also triggers an alarm, if significant behavioral changes (e.g. less mobility, change of health condition and many others) are detected. Thus, relatives or care taker organizations are able to ensure the physical and psychological wellbeing of the primary end users. The goal of this system is to provide end users help, whenever help is needed – not only due to safety critical incidents but also if they need help to improve their well-being.

Project funded by:


The FEARLESS system will use cameras equipped with microphones as sensors, allowing for the combined visual and acoustic detection of risks. This type of sensor offers a flexible and extendable solution, able to detect different kinds of events simultaneously by applying powerful computer vision and audio processing algorithms.

One of the goals of the AAL Joint Programme is a time-to-market perspective of 2 to 3 years after the end of the project. For instance, user involvement in FEARLESS is crucial for achieving their satisfaction with the results of the deployed platform. i2CAT will bring to this evaluation their expertise in the Living Labs model.

After finishing usability studies using the Living Labs Model, the validation process, which consists of two phases (phase A and phase B) lasting 9 months in all, will start. During phase A, the first prototype will be tested with 15 end-users for two months after which the system will be integrated and modified according to their necessity. In phase B, 45 elderly volunteers will be selected in a group of users of TES and SAM services. FEARLESS system will be installed and activated concurrently in the house of 15 end-users for 2 months each.

At the end of the experimentation period, the data collect will be analyzed by almost all end-user representatives to demonstrate the real advantages of FEARLESS: we will focus on the alarms produced and their frequency in relation to the mental status of the patient.


The business model is targeting the end-user with the following recruitment criteria: living alone, elderly more than 65 years old, restriction for activities of daily living, with small cognitive loss and at risk. 

Customers and users

FEARLESS provides safety – therefore the fears of elderly are reduced resulting in a higher self-efficacy and thus higher mobility. Consider the end user’s fears. If these fears are reduced, elderly will be more willing to take active part in the self-serve society and due to their higher self-efficacy, their mobility will be increased tremendously.

An ambient assisted living system has to be affordable. To address these needs, FEARLESS is made of standard low-cost components to facilitate a low-cost system which is affordable for everyone.

Insurance institutions and ageing sector

Another interesting business adoption will be for providers of welfare and ageing sector, for example, welfare insurance institutions. 

FEARLESS might not only be sold off-the-shelf, but it could be an important building block of a consultancy service that helps people to equip their home with low-cost, low-key technology.

The actual state-of-the-art emergency systems for elderly mostly contain at least one sensor, which has to be worn or pressed in case of emergency.  In case of an emergency and if elderly are able to press the button, they have to tell the operator, which kind of incident happened. If the elderly is not able to talk to the operator for any reason, there is no information about the type of incident at all. This causes a lot of false alarms as well as unnecessary ambulance deployments at very high costs. Due to these drawbacks, sensors acting autonomously are needed in case of any incident.

Public sector authorities

End users get the realistic opportunity to equip their existing homes with affordable AAL technology and care costs will be reduced as elderly are able to live in their homes longer.



CogVis GmbH




Vienna University of Technology



University of Bamberg









InfoKom GmbH



Linkcare Health Services


Fraunhofer IPK





Samariterbund Wien



Medical University of Vienna


07/2011 to 12/2013
AAL Ambient Assisted Living 2010
2.680.777 €