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Fast Accelerometer-Based Motion Recognition with a Dual Buffer Framework

Hubert P. H. Shum, Taku Komura and Shu Takagi
International Journal of Virtual Reality (IJVR), 2011

 Citation: 12#

Fast Accelerometer-Based Motion Recognition with a Dual Buffer Framework
# According to Google Scholar 2023"

Abstract

The low-cost gyro-accelerometer based controllers have opened up a potential of using 3D computer games for serious applications such as sports and vocational training. Previous games apply simple template matching for the motion recognition which suffers from poor accuracy and time lag. In order to cope with these problems, we propose a novel dual buffer approach that dramatically increases the recognition rate and shortens the time lag for motion recognition. The system first recognizes the user control signal with a small buffer to minimize the time lag. When more signals arrive from the sensor, an elaborate recognition is performed, and the previously recognized action is switched if necessary. Using boxing as an example, we show that we can control a virtual character to perform 13 different actions using a buffer size of one-tenth of a second. Since our system is computationally inexpensive, it can be used in game consoles. As it is accurate and responsive, it can also be applied for serious sport training.

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Citations

BibTeX

@article{shum11fast,
 author={Shum, Hubert P. H. and Komura, Taku and Takagi, Shu},
 journal={The International Journal of Virtual Reality},
 title={Fast Accelerometer-Based Motion Recognition with a Dual Buffer Framework},
 year={2011},
 month={9},
 volume={10},
 number={3},
 pages={17--24},
 numpages={8},
 doi={10.20870/IJVR.2011.10.3.2831},
 publisher={IPI Press},
}

RIS

TY  - JOUR
AU  - Shum, Hubert P. H.
AU  - Komura, Taku
AU  - Takagi, Shu
T2  - The International Journal of Virtual Reality
TI  - Fast Accelerometer-Based Motion Recognition with a Dual Buffer Framework
PY  - 2011
Y1  - 9 2011
VL  - 10
IS  - 3
SP  - 17
EP  - 24
DO  - 10.20870/IJVR.2011.10.3.2831
PB  - IPI Press
ER  - 

Plain Text

Hubert P. H. Shum, Taku Komura and Shu Takagi, "Fast Accelerometer-Based Motion Recognition with a Dual Buffer Framework," The International Journal of Virtual Reality, vol. 10, no. 3, pp. 17-24, IPI Press, Sep 2011.

Supporting Grants

Similar Research

Qi Feng, Hubert P. H. Shum and Shigeo Morishima, "Resolving Hand-Object Occlusion for Mixed Reality with Joint Deep Learning and Model Optimization", Computer Animation and Virtual Worlds (CAVW) - Proceedings of the 2020 International Conference on Computer Animation and Social Agents (CASA), 2020

 

 

Last updated on 17 February 2024
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