- Human Action Recognition from Various Data Modalities: A Review
- Sensor-based and vision-based human activity recognition: A comprehensive survey
- UCI-HAR Dataset
- PAMAP2 Dataset
- Sports-and-Activities Dataset
- UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor
- TCN-attention-HAR: human activity recognition based on attention mechanism time convolutional network
- Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
- AdaRNN: Adaptive Learning and Forecasting of Time Series
- Real Time Human Activity Recognition from Accelerometer Data using Convolutional Neural Networks
- Human Action Recognition on Cellphone Using Compositional Bidir-LSTM-CNN Networks
- Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks
- Human Activity Recognition using Accelerometer and Gyroscope Data from Smartphones