Choosing and Modeling the Hand Gesture Database for a Natural User Interface

2012 ◽  
pp. 24-35 ◽  
Author(s):  
Przemysław Głomb ◽  
Michał Romaszewski ◽  
Sebastian Opozda ◽  
Arkadiusz Sochan
Keyword(s):  
User Interface ◽  
Hand Gesture ◽  
Natural User Interface

Realization of Natural User Interface for Computer Control With KNN Classifier Enhanced Smart Glove

2019 ◽  
Author(s):  
Chieh-Ju Wu ◽  
Kai-Hsiang Lin ◽  
Meng-Lin Hsieh ◽  
Jen-Yuan (James) Chang
Keyword(s):  
Machine Learning ◽  
User Interface ◽  
Learning Algorithm ◽  
Computer Control ◽  
Supervised Machine Learning ◽  
Measurement Unit ◽  
Hand Gesture ◽  
Natural User Interface ◽  
Hand Orientation ◽  
Knn Classifier

Abstract Gesture interaction is a commonly used solution when introducing Natural User Interface (NUI), a kind of user interface where the interaction is direct and consistent with natural heuristic behaviors. In this paper, a smart glove with efficient real-time hand orientation calculation and accurate static hand gesture prediction is proposed. This custom-built wireless glove consists of flex sensors, an Inertial Measurement Unit (IMU) sensor, a microcontroller with multi-channel ADC/AMP (analog to digital converter and amplifier), a Bluetooth module, and an Arduino Micro Pro. K-Nearest-Neighbor (KNN) classifier is implemented to assist static hand gesture prediction with the validated accuracy exceeding 97%. This supervised machine learning algorithm allows a highly customizable smart glove which the input gestures, input number of gestures, and the associated activating functions are all easily changeable by the users any time. To show the benefits of combining the NUI and supervised machine learning, a validation experiments, computer control, were conducted.

The Natural User Interface

2011 ◽  
pp. 9-14 ◽  
Author(s):  
Daniel Wigdor ◽  
Dennis Wixon
Keyword(s):  
User Interface ◽  
Natural User Interface
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