Human communication is highly multimodal, including speech, gesture, gaze, facial
expressions, and body language. Robots serving as human teammates must act on such …

In the small target detection problem a pattern to be located is on the order of magnitude
less numerous than other patterns present in the dataset. This applies both to the case of …

We study the two stage classification approach using Hidden Markov Models and Bayesian
Network to natural hand gesture classification. We analyze 22 natural gestures with three …

The goal of this work is the identification of humans based on motion data in the form of
natural hand gestures. The identification problem is formulated as classification with classes …

The assignment of movement affirmation/acknowledgment is significantly trying a direct
result of multifaceted establishment, presence of non-movement hand developments, and …

The goal of this paper is to analyse a method of validating a subset of gestures to be used as
elements of a HCI interface. We investigate the applicability of LDA for gesture data …

Movements of the body and especially of the hand are extremely complex, and are driven by
several processes of biomechanical and neuroplastic types, among others. Their study …

Viele der Interaktionsgeräte, die in jüngster Zeit auf den Markt gekommen sind, sind gesten-
und touchbasiert. Diese auf neuen Technologien basierenden Interaktionsformen werden …