Gesture recognition based on body-worn devices can be used for healthy improvement and life support. Many methods have been proposed for gesture recognition ...
PDF | Gesture recognition based on body-worn devices can be used for healthy improvement and life support. Many methods have been proposed for gesture.
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Gesture recognition based on body-worn devices can be used for healthy improvement and life support. Many methods have been proposed for gesture recognition ...
Oct 17, 2019 · This paper applies several general machine learning algorithms to a dataset of gestures and identifies key aspects of the gestures that improve ...
MEMS Devices-Based Hand Gesture Recognition via Wearable Computing
www.ncbi.nlm.nih.gov › PMC10223752
Apr 27, 2023 · In this paper, we investigate static and dynamic gesture-recognition methods based on miniature inertial sensors. Hand-gesture data are obtained ...
A Probability Model for Recognition of Dynamic Gesture Based on a Finger-Worn Device · Yinghui ZhouZixue ChengLei JingJunbo Wang. Computer Science. AMT. 2012.
Hand gestures are of 2 types, static and dynamic. The three main phases of the technique on which the whole approach works are object detection, object tracking ...
In this work we have developed a HMM based gesture recognition system which uses both the temporal and shape characteristics of the gesture for recognition.
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This paper proposes a registerable hand gesture recognition approach based on Triple Loss. By learning the differences between different hand gestures, it can ...
Nov 17, 2023 · This paper proposes a data glove-based dynamic gesture recognition model called the Attention-based CNN-BiLSTM Network (A-CBLN).