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Hand Gestures Classification with Multi-Core DTW.
ISC Int. J. Inf. Secur., 2019Classifications of several gesture types are very helpful in several applications. This paper tries to address fast classifications of hand gestures using DTW over multi-core simple processors. We presented a methodology to distribute templates over multi-cores and then allow parallel execution of the classification.
Ayman Atia, Nada Shorim
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VISUAL HAND GESTURES CLASSIFICATION USING WAVELET TRANSFORMS
International Journal of Wavelets, Multiresolution and Information Processing, 2003This paper presents a novel technique for classifying human hand gestures based on stationary wavelet transform (SWT) and compares the results with classification based on Hu moments. The technique uses view-based approach for representation of hand actions, and artificial neural networks (ANN) for classification. This approach uses a cumulative image-
Sanjay Kumar +3 more
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Gestures classification from EMG signals
2018 IEEE Biennial Congress of Argentina (ARGENCON), 2018La medicion de las senales electromiograficas (EMG) generadas por los musculos se puede utilizar para monitorear su actividad y, de este modo, para la identificacion de movimientos que sera el objetivo de este trabajo. Para ello, se obtuvieron tres senales EMG con electrodos superficiales, los cuales fueron ubicados en el antebrazo.
Lucas S. Bualo Giordano, Franco Moiola
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Recognition of arm gestures using multiple orientation sensors: gesture classification
Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749), 2005We present a gesture recognition algorithm from Euler angles acquired using multiple orientation sensors. This algorithm is a part of a system for controlling unmanned aerial vehicles (UAVs) in the presence of manned aircrafts on an aircraft deck. After exploring multiple approaches to arm gesture recognition, we investigate a real-time arm gesture ...
J.-C. Lementec, P. Bajcsy
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Perceptual and Motor Skills, 2006
In research on gesture production, including Chieffi and Ricci's 2005 study, the focus has been on the connection between gesture and speech. To investigate spontaneous gestures, the most important points have been the definition and classification of gesture. These points may directly influence the result and its interpretation.
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In research on gesture production, including Chieffi and Ricci's 2005 study, the focus has been on the connection between gesture and speech. To investigate spontaneous gestures, the most important points have been the definition and classification of gesture. These points may directly influence the result and its interpretation.
openaire +2 more sources
Gestural Analysis and Classification of a Conductor’s Movements
2017Gestures can be studied as the connection of discrete points by continuous paths. In the gesture of the orchestral conductor, the points connected by the gestural path correspond to metric movements of time represented in space. Here, we will study the gestures of the conductor referring to some concept of homotopy theory. The basic metric gesture is a
Guerino Mazzola +6 more
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Sign Gesture Classification and Recognition Using Machine Learning
Cybernetics and Systems, 2023Muhammad Saad Amin +1 more
exaly
Global Composition and Gesture Classification
2023Linshujie Zheng, Guerino Mazzola
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Local Composition and Gesture Classification
2023Linshujie Zheng, Guerino Mazzola
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Hand gesture classification using time–frequency images and transfer learning based on CNN
Biomedical Signal Processing and Control, 2022Deniz Hande Kisa +2 more
exaly

