Sep 16, 2018 · This paper proposes a machine learning system to identify dynamic gestures using tri-axial acceleration data acquired from two public datasets.
Dec 27, 2018 · This paper proposes a machine learning system to identify dynamic gestures using tri-axial acceleration data acquired from two public datasets.
A machine learning system to identify dynamic gestures using tri-axial acceleration data acquired from two public datasets, uWave and Sony, were acquired ...
This paper proposes a machine learning system to identify dynamic gestures using tri-axial acceleration data acquired from two public datasets. These datasets, ...
A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning. Gautham Krishna Gudur, Karthik Subramanian Nathan, B. YogeshKumar, Ankith A ...
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In this paper, we propose a novel bi-modal (audio and skeleton joints) dynamic network for gesture recognition. First, state-of-the-art dynamic Deep Belief ...
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Jan 9, 2023 · We proposed a Multi-branch attention-based graph and a general deep-learning model to recognize hand gestures by extracting all possible types of skeleton- ...
In this paper, we introduce a new 3D hand gesture recognition approach based on a deep learning model. 1. Paper
This work aims to increase performance of hand gestures recognition by using multi-modal streams. We propose a method that combines depth, RGB and optical flow ...
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Abstract—This paper describes a novel method called Deep Dynamic Neural Networks (DDNN) for multimodal gesture recognition. A.