Oo-dmvmt: A deep multi-view multi-task classification framework for real-time 3d hand gesture classification and segmentation
Continuous mid-air hand gesture recognition based on captured hand pose streams is
fundamental for human-computer interaction, particularly in AR/VR. However, many of the …
fundamental for human-computer interaction, particularly in AR/VR. However, many of the …
SHREC 2022 track on online detection of heterogeneous gestures
This paper presents the outcomes of a contest organized to evaluate methods for the online
recognition of heterogeneous gestures from sequences of 3D hand poses. The task is the …
recognition of heterogeneous gestures from sequences of 3D hand poses. The task is the …
[PDF][PDF] Two-Model-Based Online Hand Gesture Recognition from Skeleton Data.
Hand gesture recognition from skeleton data has recently gained popularity due to the broad
areas of application and availability of adequate input devices. However, before utilising this …
areas of application and availability of adequate input devices. However, before utilising this …
MVMSFN: A Multi-View and Multi-Scale Fusion Network for Online Detection of Heterogeneous Gestures
H Long, S Wang, H Hu, Y Wang, H Xu… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Gesture is considered as an important approach to implement natural human-machine
interaction, but the existing online gesture detection methods still suffer from the problem of …
interaction, but the existing online gesture detection methods still suffer from the problem of …