Automatic Detector of Gait Alterations using RGB-D sensor and supervised classifiers: a preliminary study.
Claudia FerrarisGianluca AmprimoGiuseppe PettitiGiulia MasiLorenzo PrianoPublished in: ISCC (2022)
Keyphrases
- supervised classifiers
- microsoft kinect
- sensor networks
- depth information
- kinect sensor
- data sets
- supervised classification
- depth data
- reinforcement learning
- semi supervised learning
- sensor data
- indoor environments
- sentiment analysis
- human recognition
- gait analysis
- human identification
- gait recognition
- similarity measure
- face recognition
- image processing
- feature selection
- neural network
- databases