6533b82ffe1ef96bd1295e12

RESEARCH PRODUCT

Real-Time Body Gestures Recognition Using Training Set Constrained Reduction

Antonio GentileSalvatore SorceFabrizio MilazzoVito Gentile

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniTraining setComputer sciencebusiness.industrySpeech recognitionRoboticsGesture Recognition Real-time systems Constrained optimizationField (computer science)Reduction (complexity)Gesture recognitionArtificial intelligencebusinessGestureMeaning (linguistics)

description

Gesture recognition is an emerging cross-discipline research field, which aims at interpreting human gestures and associating them to a well-defined meaning. It has been used as a mean for supporting human to machine interaction in several applications of robotics, artificial intelligence, and machine learning. In this paper, we propose a system able to recognize human body gestures which implements a constrained training set reduction technique. This allows the system for a real-time execution. The system has been tested on a publicly available dataset of 7,000 gestures, and experimental results have highlighted that at the cost of a little decrease in the maximum achievable recognition accuracy, the required time for recognition can be dramatically reduced.

yearjournalcountryeditionlanguage
2017-07-05
https://doi.org/10.1007/978-3-319-61566-0_21