TITLE

Somatosensory Interaction Using Motion Sensors Embedded in Mobile Phones

AUTHOR(S)
Cuixian Xuan; Xiubo Liang; Yongjian Gong
PUB. DATE
February 2012
SOURCE
International Journal of Digital Content Technology & its Applic;Feb2012, Vol. 6 Issue 3, p167
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Somatosensory interaction is one of the most popular ways of controlling avatars in video games, which adopts users' body movements directly as the input. In this paper, we presented a novel motion generation system for virtual characters with motion sensors embedded in mobile phones. Firstly, the motion signals of the users are collected as samples by a handheld mobile phone and sent to a computer through Bluetooth connection. After being preprocessed, the samples are employed for training and recognition with our machine learning models. Then, the recognition results are used to drive the generation of avatar's motions. At last, the motion is further adapted by our real-time inverse kinematics solver to satisfy the constraints in the environment. We achieve an average recognition rate of 90% on a test set of 20 gestures. The final results show that our system is intuitive, efficient and particularly suitable for avatar control in video games and VR applications.
ACCESSION #
76388486

 

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