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"A Two-Stream Neural Network for Pose-Based Hand Gesture Recognition" by Chuankun Li, Shuai Li et al.

Pose-based hand gesture recognition has been widely studied in the recent years. Compared with full body action recognition, hand gesture involves joints that are more spatially closely distributed with stronger collaboration. This nature requires a different approach from action recognition to capturing the complex spatial features. Many gesture categories, such as 'Grab' and 'Pinch,' have very similar motion or temporal patterns posing a challenge on temporal processing. To address these challenges, this article proposes a two-stream neural network with one stream being a self-attention-based graph convolutional network (SAGCN) extracting the short-term temporal information and hierarchical spatial information, and the other being a residual-connection-enhanced bidirectional independently recurrent neural network (IndRNN) for extracting long-term temporal information. The SAGCN has a dynamic self-attention mechanism to adaptively exploit the relationships of all h ....

Dynamic Hand Gesture , First Person Hand Action , Bidirectional Independently Recurrent Neural Network Indrnn , Raph Convolutional Network Gcn , Hand Gesture Recognition ,

"Hand gesture recognition framework using a lie group based spatio-temp" by Shu Wang, Aiguo Wang et al.

The primary goal of hand gesture recognition with wearables is to facilitate the realization of gestural user interfaces in mobile and ubiquitous environments. A key challenge in wearable-based hand gesture recognition is the fact that a hand gesture can be performed in several ways, with each consisting of its own configuration of motions and their spatio-temporal dependencies. However, the existing methods generally focus on the characteristics of a single point on hand, but ignores the diversity of motion information over hand skeleton, and as a result, they suffer from two key challenges to characterize hand gestures over multiple wearable sensors: motion representation and motion modeling. This leads us to define a spatio-temporal framework, named STGauntlet, that explicitly characterizes the hand motion context of spatio-temporal relations among multiple bones and detects hand gestures in real-time. In particular, our framework incorporates Lie group-based representation to captu ....

Hand Gesture Recognition , Ie Group , Otion Modeling , Wearable Sensors ,