A signal pattern recognition approach for mobile devices and its application to braking state classification on robotic mobility devices.
Ali BoyaliNaohisa HashimotoOsamu MatsumotoPublished in: Robotics Auton. Syst. (2015)
Keyphrases
- pattern recognition
- mobile devices
- signal processing
- pattern classification
- mobile users
- support vector machine svm
- feature extraction
- machine learning
- support vector
- smart phones
- pattern recognition problems
- context aware
- tablet computers
- mobile networks
- mobile computing
- classification accuracy
- computer vision
- support vector machine
- image processing
- pattern analysis
- real time
- computing devices
- embedded devices
- communication technologies
- location based services
- mobile applications
- feature vectors
- mobile robot
- learning activities
- mobile phone
- image classification
- mobile computing environment
- robotic systems
- feature selection
- classification algorithm
- neural network
- handheld devices
- text classification
- state space
- supervised learning
- rough sets
- desktop computers
- mobile environments
- eeg signals
- feature space
- image analysis
- frequency domain
- classification method