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Real-time Hand Gesture Detection and Recognition using Boosted Classifiers and Active Learning
(2012-12-17)
In this article a robust and real-time hand gesture detection and
recognition system for dynamic environments is proposed. The system is based
on the use of boosted classifiers for the detection of hands and the ...
A software development process model for gesture-based interface
(2012-12-01)
Gesture-based applications have particularities, since users interact in a natural way, much as they interact in the non-digital world. Hence, new requirements are needed on the software design process. This paper shows a ...
A software development process model for gesture-based interface
(2012-12-01)
Gesture-based applications have particularities, since users interact in a natural way, much as they interact in the non-digital world. Hence, new requirements are needed on the software design process. This paper shows a ...
Gesture and metaphor comprehension: Electrophysiological evidence of cross-modal coordination by audiovisual stimulation
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2009)
In recent years, studies have suggested that gestures influence comprehension of linguistic expressions, for example, eliciting an N400 component in response to a speech/gesture mismatch. In this paper, we investigate the ...
Selection of suitable hand gestures for reliable myoelectric human computer interface
(2015)
© Castro et al.Background: Myoelectric controlled prosthetic hand requires machine based identification of hand gestures using surface electromyogram (sEMG) recorded from the forearm muscles. This study has observed that ...
Point Cloud Deep Learning Solution for Hand Gesture Recognition
In the last couple of years, there has been an increasing need for Human-Computer Interaction (HCI) systems that do not require touching the devices to control them, such as ATMs, self service kiosks in airports, terminals ...