Conference Paper

Automated Discovery of Human Activities inside Pervasive Living Spaces

University of Essex, Colchester, England, United Kingdom
DOI: 10.1109/SPCA.2006.297520 Conference: Pervasive Computing and Applications, 2006 1st International Symposium on
Source: IEEE Xplore


The recognition and detection of human activities constitutes a very important step towards the fulfilment of the notion of pervasive environments. By detecting patterns on those behaviours, an environment can adapt and respond to the inhabitants' needs, thus improving the quality of life. This paper presents a framework in which those ideas can be applied and tested. It includes a system using a temporal neural-network driven embedded agent working with online, real-time data from a network of unobtrusive low-level sensors situated in either a simulated environment or a fully fitted real environment such as a whole flat

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    • "Adopting user-programmed rules leaves the task of configuring the system up to the end user, as in the Humble project [11], in which users build the system through puzzle-like graphical programming representations, the CAMP project [12], which adopted a pseudo-natural language interface to enable non-technical people to create context-aware ubiquitous applications, and Rivera-Illingworth et al. [13], who propose a system that uses a temporal neural network-based agent to recognize behaviors such as listening to music, working at the computer or sleeping, by using a special user interface in order to label the various user activities. Unfortunately, these kinds of systems tend to be very complex and therefore difficult for end users to configure properly. "
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