Object Motion Rendering with the String-based Haptic Interface SPIDAR for Enhanced Video Viewing Experience

With the invention of immersive displays and high technology multimedia systems, there is an interest of viewers for more realistic and interactive experience with video media. Their viewing experience can be further enhanced by letting them to feel the motion of objects in a video through haptic interface, as it is an additional sensation over seeing and hearing it. The objective of this research is to use the string based haptic interface, SPIDAR to interact with the video and enable the viewers to feel the motion of objects in it, beyond passive watching and listening. We propose two methods for object motion rendering i.e. linear gain controller method and nonlinear gain controller method. Further, we evaluated those two methods with the participation of real users, with the objective of identifying the better one. We can conclude that using a nonlinear gain controller method is more effective than using a linear gain controller method for object motion rendering because from that method user can get a continuous feeling of the movement of objects in the video. Based on the feedback of real users, we can also conclude that haptic motion rendering of a video sequence enhances the viewing experience of viewers. DOI: http://dx.doi.org/10.4038/icter.v6i1.6096 International Journal on Advances in ICT for Emerging Regions 2013 6(1)

[1]  Yo-Sung Ho,et al.  3D video player system with haptic interaction based on depth image-based representation , 2006, IEEE Transactions on Consumer Electronics.

[2]  Yasuharu Koike,et al.  Tension Based 7 DOFs Force Feedback Device , 2002 .

[3]  Vincent Hayward,et al.  Haptic interfaces and devices , 2004 .

[4]  Makoto Sato,et al.  A Haptic Virtual Environment for Molecular Chemistry Education , 2008, Trans. Edutainment.

[5]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[6]  Jun Wu,et al.  Virtual fixture based haptic rendering of handwriting , 2009, 2009 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurements Systems.

[7]  Makoto Sato,et al.  A Proposal of a High Definition Haptic Rendering for Stability and Fidelity , 2006, 16th International Conference on Artificial Reality and Telexistence--Workshops (ICAT'06).

[8]  Jeha Ryu,et al.  3DTV System using Depth Image-Based Video in the MPEG-4 Multimedia Framework , 2007, 2007 3DTV Conference.

[9]  A. Murat Tekalp,et al.  Immersive haptic interaction with media , 2010, Visual Communications and Image Processing.

[10]  Ian Oakley,et al.  Haptic Interaction with Depth Video Media , 2005, PCM.

[11]  R. Cross The bounce of a ball , 1999 .

[12]  I. Oakley,et al.  Touch TV : Adding Feeling to Broadcast Media , 2003 .

[13]  Alain Pruski,et al.  Real time facial feature points tracking with Pyramidal Lucas-Kanade algorithm , 2008, RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication.

[14]  J.-Y. Bouguet,et al.  Pyramidal implementation of the lucas kanade feature tracker , 1999 .

[15]  Cagatay Basdogan,et al.  Haptics in minimally invasive surgical simulation and training , 2004, IEEE Computer Graphics and Applications.

[16]  Abdulmotaleb El-Saddik,et al.  Touchable 3D video system , 2009, TOMCCAP.