Classification for Motion Game Based on EEG Sensing

1. Introduction

“Brain-computer interfaces (BCI) technology enable users to control a device according to his or her
neural activity. An important part of the BCI motion features have been used in many motion games
by using body surface sensors, such as Microsoft Kinect, Leapmotion, Nintendo Wii and so on.
However, the accuracy of the electroencephalography (EEG) and the motion signal based
classification system are limited, due to the sensor technology and classification algorithm. Moreover,
the motion sensor based interface system cannot show user’s mental activity such as engagement
situation (positive or negative), tiredness state and so on, which are very important in education and
medical care situations. The motions also couldn’t be always performed well for the children and
elders [1]. To settle this problem, BCI and motion technologies are both integrated together with
follow two devices: (1) OpenBCI, which is an open source software framework for brain-computer
interfaces. It is reported that the OpenBCI board could indeed be an effective alternative to traditional
EEG amplifiers [2]. (2) Microsoft Kinect, which is a motion sensing input device for video game of
the Xbox 360 and windows PC. The infrared projector and camera and a special microchip are used to
track the movement of objects and individuals in three dimensions, and interpret specific gestures.
In this paper, an openBCI and a Microsoft Kinect sensor based motion classification system are
proposed. Moreover, the motion and EEG features are applied to train and test the SVM classifiers.”

Published in ITM Web of Conferences 11, 05002, 2017. DOI: 10.1051/itmconf/20171105002

Ran Wei, Xing-Hua Zhang, XIn Dang, and Guo-Hui Li,

School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China 2 School of Computer Science and Software Engineering, Tianjin Polytechnic University, Tianjin, China 3 TEDA Orking Hi-Tech Company Limited, Tianjin, China 4 Tianjin Key Laboratory of Optoelectronic Detection Technology and System, Tianjin, China