Detection and Classification of Stroke Gaits by Deep Neural Networks Employing Inertial Measurement Units.
Fu-Cheng WangSzu-Fu ChenChin-Hsien LinChih-Jen ShihAng-Chieh LinWei YuanYou-Chi LiTien-Yun KuoPublished in: Sensors (2021)
Keyphrases
- neural network
- pattern recognition
- neyman pearson
- automatic detection
- classification method
- feature extraction
- support vector
- classification accuracy
- support vector machine svm
- object detection
- detection algorithm
- learning vector quantization
- feature set
- detection rate
- pattern classification
- unsupervised learning
- image classification
- fuzzy logic
- support vector machine
- feature selection
- neural networks and support vector machines
- multi layer perceptron
- training process
- digital mammograms
- classification algorithm
- self organizing maps
- back propagation
- anomaly detection
- feature vectors
- artificial neural networks
- decision trees