Early, intermediate and late fusion strategies for robust deep learning-based multimodal action recognition

Multi-GAT: A Graphical Attention-Based Hierarchical Multimodal Representation Learning Approach for Human Activity Recognition

(2021) Md Mofijul Islam et al.   IEEE Robotics and Automation Letters

Combining skeleton and accelerometer data for human fine-grained activity recognition and abnormal behaviour detection with deep temporal convolutional networks

(2021) Cuong Pham et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A multimodal approach for human activity recognition based on skeleton and RGB data

(2020) Annalisa Franco et al.   PATTERN RECOGNITION LETTERS

Shedding Light on People Action Recognition in Social Robotics by Means of Common Spatial Patterns

(2020) Itsaso Rodríguez-Moreno et al.   SENSORS

A combined multiple action recognition and summarization for surveillance video sequences

(2020) Omar Elharrouss et al.   APPLIED INTELLIGENCE

Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos

(2018) Amir Shahroudy et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Combining CNN streams of RGB-D and skeletal data for human activity recognition

(2018) Pushpajit Khaire et al.   PATTERN RECOGNITION LETTERS

CuDi3D: Curvilinear displacement based approach for online 3D action detection

(2018) Said Yacine Boulahia et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates

(2017) Jun Liu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

(2017) Raffaele Gravina et al.   Information Fusion

Human action recognition in RGB-D videos using motion sequence information and deep learning

(2017) Earnest Paul Ijjina et al.   PATTERN RECOGNITION

Fusing Multiple Features for Depth-Based Action Recognition

(2015) Yu Zhu et al.   ACM Transactions on Intelligent Systems and Technology