Gesture-Based Remote-Control System using Coordinate Features

To date, the most effective way for HCI (Human Computer Interaction) is dependend on intermediate device – remote control, teach  pendant or computer mouse, data glove and many others. The use of human gesture as an input to a computer system has the advantages in terms of its flexibility and ease of access. We proposed a gesture based control system for effective HCI interfaces based of coordinate features. The focus is on using the proposed coordinate features to correctly classify a number of human gestures corresponding to specific functions. The system was setup based on Kinect 360 and Labview interfaces to control four specific functions based on four human gestures using coordinate features. The feasibility and the performance of the system was examined in terms of its accuracy, operational distance and lighting condition. Our experimental results showed that the proposed coordinate features could be used for gesture based remote control.

[1]  Georg Umlauf,et al.  3D Hand Gesture Recognition Based on Sensor Fusion of Commodity Hardware , 2012, MuC.

[2]  M. Bhuiyan Gesture-controlled user interfaces , what have we done and what ’ s next ? , 2009 .

[3]  Quang Nguyen,et al.  Human Computer Interaction Using Hand Gestures , 2014, ICIC.

[4]  Daeho Lee,et al.  Vision-based remote control system by motion detection and open finger counting , 2009, IEEE Transactions on Consumer Electronics.

[5]  Hung T. Nguyen,et al.  Human computer interaction using hand gesture , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Shigeo Abe,et al.  Support Vector Machines for Pattern Classification (Advances in Pattern Recognition) , 2005 .

[7]  Junsong Yuan,et al.  Robust hand gesture recognition based on finger-earth mover's distance with a commodity depth camera , 2011, ACM Multimedia.

[8]  Juan M. Bogado,et al.  GLOVE-BASED GESTURE RECOGNITION SYSTEM , 2012 .

[9]  Pan Jing,et al.  Human-computer Interaction using Pointing Gesture based on an Adaptive Virtual Touch Screen , 2013 .

[10]  Ling Shao,et al.  Multimedia Interaction and Intelligent User Interfaces , 2010 .

[11]  Kun Qian,et al.  Developing a Gesture Based Remote Human-Robot Interaction System Using Kinect , 2013 .

[12]  G. H. Raisoni,et al.  Human Computer Interaction using Hand Gesture Recognition with Neural Network: A Review , 2013 .

[13]  Luca Viganò,et al.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2015, IWSEC 2015.

[14]  Rama B. Dan,et al.  Survey on Hand Gesture Recognition Approaches , 2014 .

[15]  Vincent Tam,et al.  Integrating the Kinect camera, gesture recognition and mobile devices for interactive discussion , 2012, Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2012.

[16]  Lars Kulik,et al.  Gesture recognition using RFID technology , 2012, Personal and Ubiquitous Computing.

[17]  Dennis McLeod,et al.  An Approach to Glove-Based Gesture Recognition , 2009, HCI.

[18]  Gilles Bailly,et al.  Gesture-aware remote controls: guidelines and interaction technique , 2011, ICMI '11.

[19]  Van Bang Le Hand Detecting and Positioning Based on Depth Image of Kinect Sensor , 2014 .

[20]  Piyush Kumar,et al.  Hand Data Glove: A Wearable Real-Time Device for Human- Computer Interaction , 2012 .

[21]  Stefan Mangold,et al.  RFID shakables: pairing radio-frequency identification tags with the help of gesture recognition , 2013, CoNEXT.

[22]  Ling Shao,et al.  Multimedia Interaction and Intelligent User Interfaces: Principles, Methods and Applications , 2010 .

[23]  Sungyoung Lee,et al.  Two-stage Hidden Markov Model in Gesture Recognition for Human Robot Interaction , 2012 .

[24]  Junsong Yuan,et al.  Depth camera based hand gesture recognition and its applications in Human-Computer-Interaction , 2011, 2011 8th International Conference on Information, Communications & Signal Processing.

[25]  A. S. Ghotkar,et al.  Hand gesture recognition for Indian Sign Language , 2012, 2012 International Conference on Computer Communication and Informatics.