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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

Abstract

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.

Acknowledgement

Supported by : 미래창조과학부

References

  1. 최아영, 황재인, "웨어러블 혼합현실 연구 및 산업 동향: HMD와 인터랙션 분야," 한국정보과학회 정보과학회지 33(11), 2015.11, 19-26.
  2. 이재열, "웨어러블 컴퓨팅 연구 (Wearable Computing) 최신 동향," (사)한국CDE학회, 한국CAD/CAM학회지 17(1), 2011.4, 9-12.
  3. 임창주, 김동한, 김연진. "동작인식기반 게임콘텐츠의 현황과 전망." 전자공학회지 39.4 (2012): 18-26.
  4. 김상기, et al. "3 차원 가속도 데이타를 이용한 HMM 기반의 동작인식." 정보과학회논문지: 컴퓨팅의 실제 및 레터 15.3 (2009): 216-220.
  5. 양혜경, 용환승. "스마트 폰의 3 축 가속도 센서를 이용한 실시간 물리적 동작 인식 기법." 멀티미디어학회논문지 17.4 (2014): 506-513.
  6. 이호성, 이승룡. "스마트폰과 웨어러블 가속도 센서를 혼합 처리한 실시간 행위 및 자세인지 기법." 정보과학회논문지: 소프트웨어 및 응용 41.8 (2014): 586-597.
  7. CSR. http://www.csr.com (access date: 2016.6.1.)
  8. Microsoft Hololens official website, https://www.microsoft.com/microsoft-hololens/en-us (access date: 2016.6.1.)
  9. MetaPro, https://www.spaceglasses.com (access date: 2016.6.1.)
  10. Fitbit, http://www.fitbit.com/ (access date: 2016.6.1.)
  11. Han-Kyung Yun, Bok-Hee Song, Sul-Hee Lee, "Dynamic Characteristic Analysis of User's Motions with Smartphone," Journal of Convergence Information Technology (JCIT), Vol. 8, No. 4, 2013
  12. Louis-Philippe Morency, Candace Sidner, Christopher Lee, and Trevor Darrell. 2005. Contextual recognition of head gestures. In Proceedings of the 7th international conference on Multimodal interfaces (ICMI '05). ACM, New York, NY, USA, 18-24.
  13. Louis-Philippe Morency, Candace Sidner b, Christopher Lee, Trevor Darrell, Head gestures for perceptual interfaces: The role of context in improving recognition, Artificial Intelligence, Volume 171, Issues 8-9, June 2007, Pages 568-585 https://doi.org/10.1016/j.artint.2007.04.003
  14. Choonsung Shin, Jisoo Hong, Youngmin Kim, Sung-Hee Hong, Hoonjong Kang. Body Gesture Recognition Framework for 3D Interactive Systems, ACHI 2016.