Ambient Assisted Living (AAL) is a new field that aims of helping older people to maintain their quality of life, supporting their daily activities with the use of Information and Communication Technologies (ICT). To achieve this objective, it is quite relevant to develop applications capable of recognizing human activities, both low and high level: understanding that the user is getting up from a chair is as important as to know that he is having a shower. We address both applying intelligent algorithms that learn the routines and provide support in dangerous situations.

Ambient Assisted Living

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Smarts environments

Technologies developments help to develop new environments equipped with sensors capable of provide us a better understanding of environment context and, even, behaviour. Intelligent algorithms should be developed to recognize and track the activities inside the environment and react dynamically to changes. Energy, Security or Health are some of our traditional applications fields for smart environments.

Motion detection Learning and Recognition of Human activities.

Traditional motion detection techniques sometimes collide with security issues when it comes to detect human behavior. Alternatively, we can find a wide variety of marker-free technology to acquire the information, such as, phone accelerometers, depth sensor cameras, etc. Processing and analyzing that information, we can develop high technology solutions for helping user with their daily activities or, beyond that, supporting specific medical treatments, such as, rehabilitation exercises.

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