Deep learning for a customised head-mounted fault display system for the maintenance of wind turbines.
Abdelaziz BouzidiLuka ClaeysRaubertin RandrianandrainaLala H. RajaoarisoaHazem WannousMoamar Sayed MouchawehPublished in: ICCAD (2024)
Keyphrases
- video sequences
- deep learning
- head mounted
- wind turbine
- augmented reality
- fault diagnosis
- eye tracking
- eye tracker
- eye movements
- wind speed
- head motion
- gaze estimation
- unsupervised learning
- facial expressions
- gaze tracking
- machine learning
- eye gaze
- neural network
- image sequences
- visual attention
- expert systems
- mental models
- head movements
- weakly supervised
- user interface
- fuzzy logic
- visual search
- real time
- three dimensional
- artificial intelligence
- human computer interaction