Hand-gesture-recognition
The project uses AlexNet as a feature extractor to learn features, which is used to recognise hand gestures.
Dataset
The Hand Gesture Recognition Database can be found at Kaggle. It contains ~20,000 images in various hand poses.
Feature Extraction
It uses AlexNet, a CNN which was pretrained on the ImageNet database. The last layer was removed to extract the features, which can be further used for training.
Model Training
The features can be trained on any classic machine learning model, like KNN, Naive Bayes, etc.
The result are as follows:
Model | Accuracy |
---|---|
LinearSVC | 95.67% |
KNN with 10 neighbors | 95.34% |
GaussianNB | 80.67% |