IPRA - Enhancing the sensing abilities of ambient intelligence
The ability of ambient intelligence to serve a person could be considerably enhanced, if intelligent devices would take into account the person's current cognitive and affective state. One primary source for state information are physiological measures. However, obtaining state information requires concertedly employing a multitude of different techniques. To facilitate the use of physiological signals as sources of state information and thereby allow improving ambient intelligence, we developed IPRA, an integrated pattern recognition approach which (a) employs all techniques necessary to appropriately analyze physiological data, (b) is broadly applicable, and (c) is easy to use even for nonexperts. This approach together with results of its first application are presented in this contribution.
pattern recognition psychophysiological data user modeling