A fundamental natural interaction concept is not yet fully exploited in most of the existing human-computer interfaces. Recent technological advances have created the possibility to naturally and significantly enhance the interface perception by means of visual inputs, the so called Vision-Based Interaction (VBI). In this paper, we present a gesture recognition algorithm where the user's movements are obtained through a real-time vision-based motion capture system. Specifically, we focus on recognizing users motions with a particular mean, that is, a gesture. Defining an appropriate representation of the user's motions based on a temporal posture parameterization, we apply non-parametric techniques to learn and recognize the user's gestures in real-time. This scheme of recognition has been tested for controlling a classical computer videogame. The results obtained show an excellent performance in on-line classification and it allows the possibility to achieve a learning phase in real-time due to its computational simplicity. © 2008 Springer-Verlag.
CITATION STYLE
Jaume-I-Capó, A., Varona, J., & Perales, F. J. (2008). Real-time recognition of human gestures for 3D interaction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5098 LNCS, pp. 419–430). https://doi.org/10.1007/978-3-540-70517-8_41
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