Title :
Design an Interactive User Interface with Integration of Dynamic Gesture and Handwritten Numeral Recognition
Author :
Jia-Shing Sheu ; Guo-Shing Huang ; Ya-Ling Huang
Author_Institution :
Dept. of Comput. Sci., Nat. Taipei Univ. of Educ., Taipei, Taiwan
Abstract :
The HCI (Human-Computer Interface) technology development has been an important topic because of the popularity of digital technology and the innovation of 3C product. The product of the NUI (Natural User Interface) is more popular than the design of HCI base on a joystick, mouse, keyboard and touch. It always uses the body movements to achieve the interactive in recently years. After "Kinect" controller was announced by the Microsoft Corporation, it open an innovative technologies in the natural user interface, which allows users to get more natural, more diverse ways to interact with machine. In this paper, the Kinect controller can complete a future digital home ITV (Interactive TV) and interactive multimedia software of control that allows users to achieve the visual and interactive operation with a more intuitive and user-friendly operation. It differs from the traditional button control. And this paper can achieve the effect of interaction HCI by Kinect. The interactive control system of this paper is included both of dynamic and handwriting recognition. The dynamic gesture uses the Kinect Sensor to achieve the real-time interaction. The handwriting digital character could be used to select TV channel. The digital character use the BPNN (Back Propagation Neural Network) to achieve the recognition and it also has a good performance in this paper.
Keywords :
backpropagation; gesture recognition; handwritten character recognition; human computer interaction; image sensors; interactive television; multimedia systems; neural nets; user interfaces; 3C product innovation; BPNN; HCI technology; Kinect controller; NUI; TV channel; backpropagation neural network; digital home ITV; dynamic gesture integration; handwriting digital character; handwriting recognition; handwritten numeral recognition; human-computer interface technology; interaction HCI; interactive TV; interactive multimedia software; interactive user interface; natural user interface; user-friendly operation; Abstracts; Computer science; Computers; Educational institutions; Human factors; Software; User interfaces; Back Propagation Network; Features Extraction; Gesture Recognition; Handwriting Recognition; Principal Curves;
Conference_Titel :
Computer, Consumer and Control (IS3C), 2014 International Symposium on
Conference_Location :
Taichung
DOI :
10.1109/IS3C.2014.334