Results 31 to 40 of about 1,560,600 (281)
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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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
Sensors, 2022 Pixel-based images captured by a charge-coupled device (CCD) with infrared (IR) LEDs around the image sensor are the well-known CCD Red–Green–Blue IR (the so-called CCD RGB-IR) data.
Ing-Jr Ding, Nai-Wei Zheng
doaj +1 more source
Generating 3D product design models in real-time using hand motion and gesture [PDF]
, 2010 This thesis was submitted for the degree of Master of Philosophy and awarded by Brunel University.Three dimensional product design models are widely used in conceptual design and in the early stage of prototyping during the design processes.
Orphanides, Stephan
core +7 more sources
Data glove-based gesture recognition using CNN-BiLSTM model with attention mechanism.
PLoS ONE, 2023 As a novel form of human machine interaction (HMI), hand gesture recognition (HGR) has garnered extensive attention and research. The majority of HGR studies are based on visual systems, inevitably encountering challenges such as depth and occlusion.
Jiawei Wu +5 more
doaj +1 more source
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
A framework for real-time hand gesture recognition in uncontrolled environments with partition matrix model based on hidden conditional random fields [PDF]
, 2013 The main obstructions of making hand gesture recognition methods robust in real-world applications are the challenges from the uncontrolled environments, including: gesturing hand out of the scene, pause during gestures, complex background, skin-coloured
Yi Yao +3 more
core +1 more source
Wi-NN: Human Gesture Recognition System Based on Weighted KNN
Applied Sciences, 2023 Gesture recognition, the basis of human–computer interaction (HCI), is a significant component for the development of smart home, VR, and senior care management.
Yajun Zhang +4 more
doaj +1 more source
Instant 3D design concept generation and visualization by real-time hand gesture recognition [PDF]
, 2013 3D conceptual design is a creative process. While the designers are in the inspirational mode, they want to quickly express the design ideas in 3D and visualize it in real time without obstacle.
Wright, David +9 more
core +1 more source
Applied Sciences, 2023 A commonly used method of gesture recognition is the use of sensor technology. Typically, technology detecting Earth’s magnetic field is used in indoor positioning, and magnetic detection technology serves as a redundant method for gesture recognition ...
Bo Shi +4 more
doaj +1 more source