TY - GEN
T1 - Quantifying and improving user quality of experience in immersive tele-rehabilitation
AU - Venkatraman, Karthik
AU - Raghuraman, Suraj
AU - Tian, Yuan
AU - Prabhakaran, Balakrishnan
AU - Nahrstedt, Klara
AU - Annaswamy, Thiru
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/2/5
Y1 - 2015/2/5
N2 - 3D Tele-Immersion (3DTI) environments are emerging as a new medium for human interactions and collaborations in the areas of education, sports training, physical medicine and rehabilitation. By adding a tactile element to a visually centered 3DTI environment, such applications can be made even more engaging. But it also opens up a few challenges in terms of fusing the visual and tactile data streams in a synchronous way. In this paper we describe a 3DTI Tele-Rehabilitation system with Microsoft Kinect cameras and hap tic devices. We describe some of the challenges we face in providing as well as quantifying a good quality of experience (QoE) in this system. We propose a set of solutions that: (i) improve the user's QoE (by using multi-modal prediction for handling latencies, better synchronization that accounts for the global state of the system, etc.), (ii) quantify the QoE (by designing a controlled virtual environment and by defining appropriate user QoE metrics for immersive tele-rehabilitation). The experimental results show a marked improvement in the performance of the system, consequently improving the user-experience. This is also verified by the results of the user performance study.
AB - 3D Tele-Immersion (3DTI) environments are emerging as a new medium for human interactions and collaborations in the areas of education, sports training, physical medicine and rehabilitation. By adding a tactile element to a visually centered 3DTI environment, such applications can be made even more engaging. But it also opens up a few challenges in terms of fusing the visual and tactile data streams in a synchronous way. In this paper we describe a 3DTI Tele-Rehabilitation system with Microsoft Kinect cameras and hap tic devices. We describe some of the challenges we face in providing as well as quantifying a good quality of experience (QoE) in this system. We propose a set of solutions that: (i) improve the user's QoE (by using multi-modal prediction for handling latencies, better synchronization that accounts for the global state of the system, etc.), (ii) quantify the QoE (by designing a controlled virtual environment and by defining appropriate user QoE metrics for immersive tele-rehabilitation). The experimental results show a marked improvement in the performance of the system, consequently improving the user-experience. This is also verified by the results of the user performance study.
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U2 - 10.1109/ISM.2014.64
DO - 10.1109/ISM.2014.64
M3 - Conference contribution
AN - SCOPUS:84930447883
T3 - Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014
SP - 207
EP - 214
BT - Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Symposium on Multimedia, ISM 2014
Y2 - 10 December 2014 through 12 December 2014
ER -