A Real-time Motion Data Reduction and Restoration Compatible with Robot’s Physical Limits

Immersion is one of the most important aspects in ensuring the applicability of Virtual Reality systems to training regimes aiming to improve performance. To ensure that this key aspect is met, the registration of motion between the real world and virtual environment must be made as accurate and as low latency as possible. Thus, an in-house developed Inertial Measurement Unit (IMU) system is developed for use in tracking the movement of the player’s racquet. This IMU tracks 6 DOF motion data and transmits it to the mobile training system for processing. Physically, the custom motion is built into the shape of a racquet grip to give a more natural sensation when swinging the racquet. In addition to that, an adaptive filter framework is also established to cope with different racquet movements automatically, enabling real-time 6 DOF tracking by balancing the jitter and latency. Experiments are performed to compare the efficacy of our approach with other conventional tracking methods such as the using Microsoft Kinect. The results obtained demonstrated noticeable accuracy and lower latency when compared with the aforementioned methods.

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Real Time Motion Data Preprocessing

Journal of Electrical Engineering ◽

10.2478/v10187-010-0035-2 ◽

2010 ◽

Vol 61 (4) ◽

pp. 247-251 ◽

Cited By ~ 1

Author(s):

Peter Benický ◽

Ladislav Jurišica

Keyword(s):

Image Processing ◽

Data Processing ◽

Real Time ◽

Motion Picture ◽

Data Preprocessing ◽

Important Data ◽

Motion Data ◽

Redundant Data ◽

Time Motion

Real Time Motion Data PreprocessingThere is a lot of redundant data for image processing in an image, in motion picture as well. The more data for image processing we have, the more time is needed for preprocessing it. That is why we need to work with important data only. In order to identify or classify motion, data processing in real time is needed.

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Real‐time motion data annotation via action string

Computer Animation and Virtual Worlds ◽

10.1002/cav.1590 ◽

2014 ◽

Vol 25 (3-4) ◽

pp. 291-300 ◽

Cited By ~ 2

Author(s):

Tian Qi ◽

Jun Xiao ◽

Yueting Zhuang ◽

Hanzhi Zhang ◽

Xiaosong Yang ◽

...

Keyword(s):

Real Time ◽

Data Annotation ◽

Motion Data ◽

Time Motion

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Comparison of Polar Motion Data from the 1980 Project Merit Short Campaign

International Astronomical Union Colloquium ◽

10.1017/s0252921100002529 ◽

1981 ◽

Vol 63 ◽

pp. 141-146

Author(s):

Ivan I. Mueller ◽

B. S. Rajal ◽

Y. S. Zhu

Keyword(s):

Real Time ◽

Data Reduction ◽

Polar Motion ◽

Time Data ◽

Absolute Necessity ◽

Motion Data ◽

Reduction Techniques ◽

Real Time Data ◽

Predicted Values ◽

Smoothing Procedure

AbstractPolar motion coordinates obtained during the Merit short campaign by various techniques, as well as their variations, have been compared directly and through a smoothing procedure. In the direct comparison, values at selected dates were differenced in all combinations and the rms values computed. Through the smoothing procedure the amplitudes of the annual and Chandler motions as well as the centers of the polhodes were estimated and compared with predicted values based on the previous six years of polar motion data. The results are somewhat inconclusive, mainly due to the shortness of the campaign and the (practically) real time data reduction techniques. To resolve the issue of possible systematic differences, the proposed MERIT main campaign seems an absolute necessity.

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