Human Action Recognition From Various Data Modalities: A Review
Explore this paper's citation graph
- Type
- review
- Published
- 2020-12-22
- Cited by
- 816
- References
- 650
- Access
- Open access
- OpenAlex
- https://openalex.org/W3117126204
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:229349238
Keywords
Modalities, Action (physics), Action recognition, Computer science, Artificial intelligence
References
- UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
- Activity Recognition from Accelerometer Data
- A Public Domain Dataset for Human Activity Recognition using Smartphones
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Towards Good Practices for Very Deep Two-Stream ConvNets
- Differential Recurrent Neural Networks for Action Recognition
- A Robust and Efficient Video Representation for Action Recognition
- Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
- Learning Spatiotemporal Features with 3D Convolutional Networks
- Learning Discriminative Representations from RGB-D Video Data
- P-CNN: Pose-Based CNN Features for Action Recognition
- Recognizing human motion with multiple acceleration sensors
- Histogram of Oriented Principal Components for Cross-View Action Recognition
- Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks
- Distilling the Knowledge in a Neural Network
- Orthogonal moment-based descriptors for pose shape query on 3D point cloud patches
- Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice
- Jointly Learning Heterogeneous Features for RGB-D Activity Recognition
- Bilinear heterogeneous information machine for RGB-D action recognition
Cited by
- A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
- RGB-D Data-Based Action Recognition: A Review
- Deep Learning Based Human Activity Recognition Using Spatio-Temporal Image Formation of Skeleton Joints
- TedNet: A Pytorch Toolkit for Tensor Decomposition Networks
- A multibranch CNN-BiLSTM model for human activity recognition using wearable sensor data
- Adversarial Bone Length Attack on Action Recognition
- A comparative review of graph convolutional networks for human skeleton-based action recognition
- A Data Augmentation Method for Skeleton-Based Action Recognition with Relative Features
- Cross-Modal Knowledge Distillation For Vision-To-Sensor Action Recognition
- Foot-to-Ground Phases Detection: A Comparison of Data Representation Formatting Methods with Respect to Adaption of Deep Learning Architectures
- Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition
- Football Game Video Analysis Method with Deep Learning
- Marfusion: An Attention-Based Multimodal Fusion Model for Human Activity Recognition in Real-World Scenarios
- Recent Advances in LoRa: A Comprehensive Survey
- Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition
- Multiple Attention Mechanism Graph Convolution HAR Model Based on Coordination Theory
- Skeleton-based similar action recognition through integrating the salient image feature into a center-connected graph convolutional network
- An effective behavior recognition method in the video session using convolutional neural network
- Assessing Human Motion During Exercise Using Machine Learning: A Literature Review
- Learning in Audio-visual Context: A Review, Analysis, and New Perspective
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