Lossy data compression using FDCT for haptic communication

In this paper, a DCT-based lossy haptic data compression method for a haptic communication systems is proposed to reduce the data size flowing between a master and a slave system. The calculation load for the DCT can be high, and the performance and the stability of the system can deteriorate due to the high calculation load. In order to keep the system a hard real-time system and the performance high, a fast calculation algorithm for DCT is adopted, and the calculation load is balanced for several sampling periods. The time delay introduced through the compression/expansion of the haptic data is predictable and constant. The time delay, therefore, can be compensated by a time delay compensator. Furthermore, since the delay in this paper is small enough, stable contact with a hard environment is achieved without any time delay compensator. The validity of the proposed lossy haptic data compression method is shown through simulation and experimental results.

[1]  N. Ahmed,et al.  Discrete Cosine Transform , 1996 .

[2]  P. Hinterseer,et al.  An experimental study of lossy compression in a real telepresence and teleaction system , 2008, 2008 IEEE International Workshop on Haptic Audio visual Environments and Games.

[3]  Andreas Spanias,et al.  A review of algorithms for perceptual coding of digital audio signals , 1997, Proceedings of 13th International Conference on Digital Signal Processing.

[4]  Antonio Ortega,et al.  A comparison of different haptic compression techniques , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

[5]  El Saddik,et al.  The Potential of Haptics Technologies , 2007, IEEE Instrumentation & Measurement Magazine.

[6]  K. Ohnishi,et al.  Haptic data compression/decompression using DCT for motion copy system , 2009, 2009 IEEE International Conference on Mechatronics.

[7]  Sandra Hirche,et al.  Perception-Based Data Reduction and Transmission of Haptic Data in Telepresence and Teleaction Systems , 2008, IEEE Transactions on Signal Processing.

[8]  Mark W. Spong,et al.  Bilateral teleoperation: An historical survey , 2006, Autom..

[9]  Nizar Sakr,et al.  Robust perception-based data reduction and transmission in telehaptic systems , 2009, World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems.

[10]  Toshiyuki Murakami,et al.  Torque sensorless control in multidegree-of-freedom manipulator , 1993, IEEE Trans. Ind. Electron..

[11]  Kouhei Ohnishi,et al.  Time-Delay Compensation by Communication Disturbance Observer for Bilateral Teleoperation Under Time-Varying Delay , 2010, IEEE Transactions on Industrial Electronics.

[12]  Mehrdad Hosseini Zadeh,et al.  Perception-based lossy haptic compression considerations for velocity-based interactions , 2007, Multimedia Systems.

[13]  Thomas Sikora,et al.  Trends and Perspectives in Image and Video Coding , 2005, Proceedings of the IEEE.

[14]  B. Lee A new algorithm to compute the discrete cosine Transform , 1984 .

[15]  Kouhei Ohnishi,et al.  Implementation of Bilateral Control System Based on Acceleration Control Using FPGA for Multi-DOF Haptic Endoscopic Surgery Robot , 2009, IEEE Transactions on Industrial Electronics.

[16]  Kouhei Ohnishi,et al.  Medical mechatronics - An application to haptic forceps , 2005, Annu. Rev. Control..

[17]  Jean-Pierre Richard,et al.  Time-delay systems: an overview of some recent advances and open problems , 2003, Autom..