Investigation of gesture scenarios for servomotor control using Microsoft Kinect sensor

This paper presents the design process of a gesture control system based on the Microsoft Kinect sensor. An environment enabling implementation of the integrated system, using a variety of equipment and software was selected and prepared. A method for integrating the sensor with the Arduino environment has also been discussed. Algorithms for remote gesture control of the given servodrive angle and the position of the robot arm gripper were prepared. The results of several experiments, which were carried out in order to determine the optimal method for starting, controlling, and stopping the drive and for assessment of the accuracy of the proposed method for the arm control, are presented.

[1]  Milan Z. Bjelica,et al.  Gesture based hardware interface for RF lighting control , 2011, 2011 IEEE 9th International Symposium on Intelligent Systems and Informatics.

[2]  Yuto Nakanishi,et al.  Design of gesture interface for deskwork support system , 2009, 2009 ICCAS-SICE.

[3]  Y. V. Parkale Gesture Based Operating System Control , 2012, 2012 Second International Conference on Advanced Computing & Communication Technologies.

[4]  Nona Helmi,et al.  Applying a neuro-fuzzy classifier for gesture-based control using a single wrist-mounted accelerometer , 2009, 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA).

[5]  Bozena Kostek,et al.  Gesture-based computer control system applied to the interactive whiteboard , 2010, 2010 2nd International Conference on Information Technology, (2010 ICIT).

[6]  Shohei Kato,et al.  Communicative humanoid robot control system reflecting human body movement , 2011, 2011 International Symposium on Micro-NanoMechatronics and Human Science.

[7]  Jakub Segen,et al.  Gesture based 3D man-machine interaction using a single camera , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[8]  Manigandan M.,et al.  Wireless Vision Based Mobile Robot Control Using Hand Gesture Recognition Through Perceptual Color Space , 2010, 2010 International Conference on Advances in Computer Engineering.

[9]  Dan Ionescu,et al.  An intelligent gesture interface for controlling TV sets and set-top boxes , 2011, 2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI).