Results 231 to 240 of about 1,560,600 (281)

Hybrid Convolutional Vision Transformer for Robust Low-Channel sEMG Hand Gesture Recognition: A Comparative Study with CNNs. [PDF]

Biomimetics (Basel)
Rodriguez Serrezuela R, Zamora RS, Hermosilla DM, Gomez AER, Reyes EM.   +4 more
europepmc   +1 more source

Vision Based Gesture Recognition

Procedia Computer Science
Hrishikesh P. S, Akshay V, Anugraha K, T. R. Hari Subramaniam, Jyothisha J. Nair   +4 more
openaire   +2 more sources

Multi-Scale Attention Fusion Gesture-Recognition Algorithm Based on Strain Sensors. [PDF]

Sensors (Basel)
Zhang Z, Cai J, Dai X, Xiao H.
europepmc   +1 more source

Modular Soft Sensor Made of Eutectogel and Its Application in Gesture Recognition. [PDF]

Biosensors (Basel)
Fan F, Deng M, Wei X.
europepmc   +1 more source

"A novel adaptive gesture recognition framework for bionic hands using Stacked Autoencoder (SAE), Adaptive Bayesian Feature Selection (ABFS), MODWT, and Hybrid sEMG-MMG Sensor Modality". [PDF]

MethodsX
Yadav AP, Patil SR.
europepmc   +1 more source

Advanced gesture recognition in Indian sign language using a synergistic combination of YOLOv10 with Swin Transformer model. [PDF]

Sci Rep
Rastogi U, Mahapatra RP, Kumar S.
europepmc   +1 more source

Developing a real-time hand-gesture recognition technique for wheelchair control. [PDF]

PLoS One
Huda MR, Ali ML, Sadi MS.
europepmc   +1 more source

Impact of Noise on Deep Learning-Based Pseudo-Online Gesture Recognition with High-Density EMG

Taleshi M, Yeung D, Trong MD, Negro F, Deny S, Vujaklija I.   +5 more
europepmc   +1 more source

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Gesture Recognition : The Gesture Segmentation Problem

Journal of Intelligent and Robotic Systems, 1999
The gesture segmentation problem is introduced as the first step towards visual gesture recognition i.e. with the detection, analysis and recognition of gestures from sequences of real images. Our gesture segmentation scheme is composed of two steps: accurate gesture contour tracking in space domain, and continuous tracking in time domain. Experimental
M. K. Viblis, Kostas J. Kyriakopoulos
openaire   +2 more sources

Attentive gesture recognition

2012 19th IEEE International Conference on Image Processing, 2012
This paper presents a novel method for static gesture recognition based on visual attention. Our proposed method makes use of a visual attention model to automatically select points that correspond to fixation points of the human eye. Gesture recognition is then performed using the determined visual attention fixation points.
Samuel Fuller Dodge, Lina J. Karam
openaire   +1 more source