1. Gym Exercise Recognition Using Deep Convolutional and LSTM Neural Network Based on IMU Sensor Data;2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC);2024-07-02
2. A Sensor-Based Deep Learning Approach for Recognizing Daily and Work Activities in Open Environments for Sanitation Workers;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31
3. Improving Performance and Explainability of Sensor-Based Human Activity Recognition;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31
4. Hybrid Attention with CNN-BiLSTM and CBAM for Efficient Wearable Activity Recognition;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31
5. Convolutional Neural Network with CBAM Module for Fitness Activity Recognition Using Wearable IMU Sensors;2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2024-01-31