A Key Skeleton Points Guided Classroom Action Recognition ...

We propose a key skeleton points guided classroom action recognition method based on multimodal symmetry fusion.

Therefore, we propose a key skeleton points guided classroom action recognition method based on multimodal symmetry fusion. This method is ...

中国矿业大学主页平台系统yanqiuyan--Home-- A Key Skeleton ...

闫秋艳,yanqiuyan,中国矿业大学主页平台系统, A Key Skeleton Points Guided Classroom Action Recognition Method Based on Multimodal Symmetry Fusion数据挖掘， ...

Visualization of improvements on skeleton-based models trained ...

Therefore, we propose a key skeleton points guided classroom action recognition method based on multimodal symmetry fusion. This method is primarily ...

How to Perform Action Recognition on Keypoints with ST-GCN++

(2018, April). Spatial temporal graph convolutional networks for skeleton-based action recognition. In Proceedings of the AAAI conference on ...

Unified Keypoint-Based Action Recognition Framework via ...

(2) In addition to the human skeletons, object key- points are introduced as an additional input for skeleton- based action recognition. (3) A skeleton-based, ...

Skeleton-based Action Recognition through Contrasting Two ... - arXiv

introduce the contrastive learning paradigm to guide ... Each color denotes an action class and each point represents a skeleton sequence.

Skeleton-based action recognition with hierarchical spatial ...

We propose a temporal stack learning network to model the detailed temporal dynamics of skeleton sequences by a composition of multiple skip-clip LSTMs. •. We ...

An Effective Approach to Intelligent Teaching Platform Design Using ...

The system leverages the fast speed of the skeleton-based action recognition method, utilizes pose recognition algorithms to extract gesture ...

A Survey on 3D Skeleton-Based Action Recognition Using Learning ...

In summary, our study encompasses 4 key contributions: • A comprehensive introduction about the superiority of 3D skeleton sequence data and characteristics of ...

Multi-Modality Co-Learning for Efficient Skeleton-based Action ...

Commonly used modalities for multimodal-based action recognition include skeletons, color images, depth maps, text and point clouds. Methods ...

Shapley Value Guided Mixing for Long-Tailed Skeleton Based ...

It makes the ex- isting skeleton-based action recognition works, which are mostly designed based on balanced datasets, suffer from a sharp performance degra-.

Holdings: Student Behavior Recognition System for the Classroom ...

by: Cailing Wang, et al. Published: (2023-01-01); A Key Skeleton Points Guided Classroom Action Recognition Method Based on Multimodal Symmetry Fusion by ...

Skeleton-based Action Recognition via Adaptive Cross-Form Learning

Compared with earlier methods that focus on exploring single-form skeletons via Graph Convolutional Networks (GCNs), existing methods tend to ...

MaskCLR: Attention-Guided Contrastive Learning for Robust Action ...

generalization to skeleton source by 26.6 percentage points for NTU120-XSub VitPose Skeletons. ... neural network for skeleton based action recognition. In.

Enhancing Human Action Recognition with 3D Skeleton Data - MDPI

Cropping augments the model by cutting out some key points in the ... Skeleton-based human activity recognition using ConvLSTM and guided feature learning.

Student Behavior Recognition System for the Classroom ...

Key points for human poses according to the COCO output format (R/L: right/left). 3.3. Person Detection and Skeleton Data Preprocessing. 3.3.1. Person Detection.

An efficient self-attention network for skeleton-based action recognition

Skeleton data naturally structured into graph by connecting major points according to nature links in human body structure. Every joint ...

Skeleton-Indexed Deep Multi-Modal Feature Learning for High ...

Topics · NTU RGB+D Dataset · Visual Features · Recurrent Neural Networks · Long Short-Term Memory · Feature Representation · ConvNets · Key Joints · Action Recognition ...

Multi-grained clip focus for skeleton-based action recognition

An inter-clip focus module is proposed to focus on key sub-actions. •. The experiment demonstrates the performance and effectiveness of our method. Abstract.