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Published in 2022 at "Advanced materials"
DOI: 10.1002/adma.202200793
Abstract: Virtual reality is a brand new technology that can be applied extensively. To realize virtual reality, certain types of humanâ€computer interaction equipment are necessary. Existing virtual reality technologies often rely on cameras, data gloves, game…
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Keywords:
recognition wristband;
virtual reality;
command;
gesture recognition ... See more keywords
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Published in 2021 at "American Journal of Primatology"
DOI: 10.1002/ajp.23313
Abstract: Comparative psychology provides important contributions to our understanding of the origins of human language. The presence of common features in human and nonhuman primate communication can be used to suggest the evolutionary trajectories of potential…
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Keywords:
human nonhuman;
systematic review;
evolutionary roots;
gesture ... See more keywords
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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04342-3
Abstract: Gesture recognition has become a hot spot in the direction of artificial intelligence and has great research significance. At present, some classical algorithms, such as the neural network method and the hidden Markov method, have…
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Keywords:
research;
gesture recognition;
gesture;
recognition ... See more keywords
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Published in 2019 at "Microsystem Technologies"
DOI: 10.1007/s00542-019-04503-2
Abstract: Gesture biometrics sensors will be extremely helpful for constructing a gesture-based application system. Compared with traditional acoustic sensor-based speech recognition applications and RGB image sensor-based surveillance applications, proper utilizations of the gesture biometrics sensor will…
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Keywords:
system;
application;
gesture;
gesture biometrics ... See more keywords
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Published in 2020 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-020-01472-6
Abstract: The use of capacitive sensors in the automotive context opens new possibilities in the development of new interfaces for machine interaction with the vehicle occupants. Large smart surfaces with gesture recognition will possibly be part…
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Keywords:
recognition based;
gesture recognition;
gesture;
touch gesture ... See more keywords
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Published in 2021 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-021-00992-y
Abstract: Zero-shot learning (ZSL) is a transfer learning paradigm that aims to recognize unseen categories just by having a high-level description of them. While deep learning has greatly pushed the limits of ZSL for object classification,…
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Keywords:
semantic encoder;
encoder;
joint semantic;
zero shot ... See more keywords
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Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02380-9
Abstract: Existing gesture-recognition methods have poor performance on the mobile terminal, because of their limited computing resources and noisy environments such as Spatio-temporal variations and light variations. In this paper, we first draw the idea of…
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Keywords:
regression;
regression based;
time;
hand ... See more keywords
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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6553-9
Abstract: The key problems of dynamic hand gesture recognition are large intra-class (gesture types, without considering hand configuration) spatial-temporal variability and similar inter-class (gesture types, only considering hand configuration) motion pattern. Firstly, for intra-class spatial-temporal variability,…
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Keywords:
motion;
shape;
gesture;
hand ... See more keywords
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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08544-7
Abstract: By analyzing the essence and deficiency of the improved Otsu’s method, this paper proposes a noise adaptive angle threshold based Otsu’s method for gesture image segmentation. It first designs a two-dimensional histogram of gray value-neighborhood…
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Keywords:
angle;
threshold;
gesture;
method ... See more keywords
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Published in 2020 at "Cognitive Computation"
DOI: 10.1007/s12559-020-09754-0
Abstract: Recent developments of sensors that allow tracking of human movements and gestures enable rapid progress of applications in domains like medical rehabilitation or robotic control. Especially the inertial measurement unit (IMU) is an excellent device…
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Keywords:
state;
continuous gesture;
gesture recognition;
gesture ... See more keywords
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Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0512-4
Abstract: Recognizing any gesture, pre-processing and feature extraction are the two major issues which we have solved by proposing a novel concept of Indian Sign Language (ISL) gesture recognition in which a combination of wavelet descriptor…
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Keywords:
wavelet descriptor;
extraction;
gesture;
humanoid ... See more keywords