6533b7d7fe1ef96bd1267aca
RESEARCH PRODUCT
Gesture Recognition for Improved User Experience in a Smart Environment
Salvatore GaglioMarco MoranaGiuseppe Lo ReMarco Ortolanisubject
Source dataAmbient intelligenceAmbient Intelligencebusiness.industryComputer scienceGesture RecognitionProbabilistic logicUsabilityMachine learningcomputer.software_genreSupport vector machineGesture recognitionArtificial intelligencebusinessClassifier (UML)computerGesturedescription
Ambient Intelligence (AmI) is a new paradigm that specifically aims at exploiting sensory and context information in order to adapt the environment to the user's preferences; one of its key features is the attempt to consider common devices as an integral part of the system in order to support users in carrying out their everyday life activities without affecting their normal behavior. Our proposal consists in the definition of a gesture recognition module allowing users to interact as naturally as possible with the actuators available in a smart office, by controlling their operation mode and by querying them about their current state. To this end, readings obtained from a state-of-the-art motion sensor device are classified according to a supervised approach based on a probabilistic support vector machine, and fed into a stochastic syntactic classifier which will interpret them as the basic symbols of a probabilistic gesture language. We will show how this approach is suitable to cope with the intrinsic imprecision in source data, while still providing sufficient expressivity and ease of use.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-01-01 |