Results 11 to 20 of about 27,039 (304)
Robotic gesture recognition [PDF]
, 1998 Robots of the future should communicate with humans in a natural way. We are especially interested in vision-based gesture interfaces. In the context of robotics several constraints exist, which make the task of gesture recognition particularly challenging.
Triesch, Jochen +1 more
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Gesture Recognition Portfolios for Personalization [PDF]
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 Human gestures, similar to speech and handwriting, are often unique to the individual. Training a generic classifier applicable to everyone can be very difficult and as such, it has become a standard to use personalized classifiers in speech and handwriting recognition.
Yao, Angela +2 more
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An Improved Gesture Segmentation Method for Gesture Recognition Based on CNN and YCbCr
Journal of Electrical and Computer Engineering, 2021 With the continuous improvement of people’s requirements for interactive experience, gesture recognition is widely used as a basic human-computer interaction.
Yan Luo, Gaoxiang Cui, Deguang Li
doaj +1 more source
Gesture recognition with a Wii controller [PDF]
Proceedings of the 2nd international conference on Tangible and embedded interaction, 2008 In many applications today user interaction is moving away from mouse and pens and is becoming pervasive and much more physical and tangible. New emerging interaction technologies allow developing and experimenting with new interaction methods on the long way to providing intuitive human computer interaction.
Schlömer, Thomas +3 more
openaire +2 more sources
MEMS Devices-Based Hand Gesture Recognition via Wearable Computing
Micromachines, 2023 Gesture recognition has found widespread applications in various fields, such as virtual reality, medical diagnosis, and robot interaction. The existing mainstream gesture-recognition methods are primarily divided into two categories: inertial-sensor ...
Huihui Wang +6 more
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Real time hand gesture recognition including hand segmentation and tracking [PDF]
, 2006 In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling ...
Sutherland, Alistair +7 more
core +1 more source
Lixdh12/Hand-Gesture-Recognition-Using-Background-Elllimination-and-Convolution-Neural-Network: [PDF]
, 2021 Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and ...
Sparsha Saha, mohammed-Emad
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Real-time hand gesture recognition for uncontrolled environments using adaptive SURF tracking and hidden conditional random fields [PDF]
, 2013 Challenges from the uncontrolled environments are the main difficulties in making hand gesture recognition methods robust in real-world scenarios. In this paper, we propose a real-time and purely vision-based method for hand gesture recognition in ...
Yi Yao +3 more
core +1 more source
Combined Hand Gesture — Speech Model for Human Action Recognition
Sensors, 2013 This study proposes a dynamic hand gesture detection technology to effectively detect dynamic hand gesture areas, and a hand gesture recognition technology to improve the dynamic hand gesture recognition rate.
Sheng-Tzong Cheng +2 more
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TY-Net: Transforming YOLO for Hand Gesture Recognition
IEEE Access, 2023 Hand gesture recognition is a rapidly expanding field with diverse applications, and the use of skeleton-based methods is gaining popularity due to their potential for lightweight execution on embedded devices.
Zorana Dozdor +3 more
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