Analysis of User Head Motion for Motion Classifier of Motion Headset

모션헤드셋의 동작분류기를 위한 사용자 머리동작 분석

  • Shin, Choonsung (Realistic Information Platform Research Center) ;
  • Lee, Youngho (Department of Computer Engineering, Mokpo National University)
  • 신춘성 (한국전자부품연구원 실감정보플랫폼연구센터) ;
  • 이영호 (목포대학교 컴퓨터공학과)
  • Received : 2016.06.07
  • Published : 2016.06.30


Recently, various types of wearable computers have been studied. In this paper, we analyze the characteristics of head motion information for the operation of the motion classifier produced motion headset that the user can use while listening to music. The prototype receives music from smart phone over bluetooth communications, and transmits the motion information measured by the acceleration sensor to the smart phone. And the smartphone classifies the motion of the head through a motion classifier. we implemented a prototype for our experiment. The user's head motion "up", "down", "left" and "right" were classified using a Bayesian classifier. As a result, in case of the movement of the head "up" and "down", there are a large changes in the x, z-axis values. In future we have a plan to perform a user study to find suitable variables for creating motion classifier.


Supported by : 미래창조과학부


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