Kinect 3m 3 BoSC Kinect A A Vol.22, No.1, システム A 打球動作 ( プレイヤー A) 動作検出 判定 音再生 自分 (A) の打球音 相手 (B) の打球音 システム B 打球動作 ( プレイヤー B) 動
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1 TVRSJ Vol.22 No.1 pp , 2017 TVRSJ Vol.22 No.1, Development of Virtual-Sound Table Tennis System Using Sound Cask Yuko Watanabe 1, Yusuke Ikeda 2 and Shiro Ise 1 Abstract In this paper, we present the development of a virtual-sound table-tennis system using a 3D-immersive auditory display based on the boundary-surface control (BoSC) principle. Sound table-tennis is a modified version of table-tennis for visually impaired people, in which the players are required to roll a ball from one end of the table to the other, instead of hitting ball over the net. Using a sound-ball and special racket, players may hit the ball by listening for the direction from which the ball is rolling towards them. Our proposed system reproduces the rolling sound by using 3D-immersive auditory display, referred to as a Sound Cask, and the player is asked to assess the direction of the ball by perceiving the virtual sound source to return the ball. Using a motion sensor, the system detects the hitting action of the player and reproduces the rolling sound. We introduce system configurations and design methods and conduct experimental studies to confirm the applicability of the system. From experimental results, localization was found to improve after the training session of virtual-sound table tennis. Keywords : boundary-surface control principle, 3D-immersive auditory display, sound table tennis, motion-capture technique, sound localization 1 3 [1,2,3,4] [5] 3 VR 3 [6] [7, 8] 3 HRTF HRTF Toyko Denki University 2 Waseda University HRTF HRTF 3 [9] 3 3 BoSC : Boundary Surface Control [10, 11] [12, 13] [14] BoSC [15, 16] [17] BoSC [18, 19] [20] -91-
2 Kinect 3m 3 BoSC Kinect A A Vol.22, No.1, システム A 打球動作 ( プレイヤー A) 動作検出 判定 音再生 自分 (A) の打球音 相手 (B) の打球音 システム B 打球動作 ( プレイヤー B) 動作検出 判定 自分 (B) の打球音 相手 (A) の打球音 音再生 1 Fig. 1 Virtual-Sound Table Tennis System 2 Fig. 2 Sound-Table Tennis 3D A A B B A B B B B A A 2.2 Xbox One Kinect (Microsoft ) RGB
3 : 30 s 1500 mm mmkinect 1000 mm Kinect 1500 mm Kinect Kinect 1500 mm 4mm [21] [22] Kinect 4 Kinect D BoSC BoSC 5 3 Fig. 3 Location of motion detect sensor 4 Fig. 4 Area configuration of motion-detection S [G ij ] [H ji ] i =1,,Nj =1,,M N M S V V 80ch DPA 4060 BoSC 96 FOSTEX FX BoSC [23, 24] 48 db22.5 dba -93-
4 Vol.22, No.1, 2017 G ij V V S [ ] H ji [ ] S (2) 5 BoSC Fig. 5 Boundary-Surface Control principle 6 BoSC Fig. 6 BoSC Microphone ms ms FFT [Ĥji] [Ĥji(ω)] =([G ij (ω)] [G ij (ω)] + β(ω)i M ) 1 [G ij (ω)] e jωτ h (1) [ ] β I M M j τ h 42.7 ms2048 BoSC D 1 A B A 3D 8 システムの動作判定誤正打球音 DB システムの動作判定誤正 自分の打球音 失敗音 成功音 対戦者の打球音 7 Fig. 7 Sound Cask 逆システム 1200 mm BoSC TSP 音響樽 8 A 3D Fig. 8 3-D sound reproduction system in system-a
5 BoSC A 3D A B B B A B A B A A BoSC mm 1350 mm BoSC 700 mmbosc 1600 mm : L, C, R s m/s 1s 65 db 9 Fig. 9 Recording condition in top view 10 Fig. 10 Recording condition in side view
6 Vol.22, No.1, CREST 42 km 100Mbps 100Mbps 200Mbps TCP/IP 10 ms 100 ms DPA m BoSC ( 9 3 ) mm BoSC 移動音の方向知覚実験 1 2 打球動作練習 3 打球動作実験 1 4 バーチャル音卓球システムによる訓練 5 移動音の方向知覚実験 2 6 打球動作実験 2 7 一人用システムによる訓練 8 心理評価アンケート 11 Fig. 11 Experimental procedure L, C, R 2. Kinect
7 : PC 1 B %SE= % SE= % t t(11)=1.03, n.s % SE= % SE= t t(11)=3.05, p<
8 Vol.22, No.1, :p< Fig. 12 Success rate of hitting motion 0 L C R 14 Fig. 14 Percentage of correct answers of starting direction :p< :p< Fig. 13 Percentage of correct answers of perceived sound direction 20 0 L C R 15 Fig. 15 Percentage of correct answers of end direction % 83.3% % 89.5% 2 9 F (1, 11) = 9.75, 16 p <0.05, F (2, 22) = 6.89, p<0.05 Holm 2 17 F (2, 22) = 0.85, n.s 5% F (2, 22) = 8.27, p< F (2, 22) = 0.40, n.s 18(a)(b) 5% (c) % 26.2% -98-
9 : : p< Fig. 16 Scatter plots of sound localization test before training Fig Percentage of incorrect answers for sound localization test 17 Fig. 17 Scatter plots of sound localization test after training 18(a) 4.0% 0.9%t(11)=1.91, p<0.1 18(b) 21.5% 15.7% t(11)=2.19, p< (c) 11.7% 9.6% t % 92% 42% 83% Kinect % m 14 14
10 Vol.22, No.1, BoSC 2m [14] 3m % 42% 5 92% 83% Kinect 80% 63% 74% BoSC 100 ms JST, CREST -100-
11 : [1] J. M. Loomis, R. G. Golledge, R. L. KlatzkyNavigation system for the blind : Auditory display modes and guidance, Presence, Teleoperators, Virtual Environ., 7(2), (1998.4) [2] J. Sánchez, M. LumbrerasVirtual Environment Interaction through 3D Audio by Blind Children, CyberPsychology & Behavior, 2(2), (1999.2). [3],,,, 3, (C), 120(5), (2000.5) [4],, 12, 5-8 (2003.6) [5],,,,, 105(186), (2005.7) [6],, 3,, 31(2), (2007.5) [7] Y. Seki, T. SatoA Training system of orientation and mobility for blind people using acoustic virtual reality, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 19(1), (2011.2). [8],,,,, 26 (2014.1) [9],,,, RPG :,, 21(2), (2016.6) [10] : -,, 53(9), (1997.9) [11] S. Ise: A principle of sound field control based on the Kirchhoff-Helmholtz integral equation and the theory of inverse systems, Acustica, 85(1), (1999.1) [12], :,, 51(12), ( ) [13] Y. Ikeda, S. Ise : Sound Cask : Music and voice communication system with three-dimensional sound reproduction based on boundary surface control principle, Proc. ICA, Acoustical Society of America, Montreal (2013.6) [14] A. Omoto, S. Ise, Y. Ikeda, K. Ueno, S. Enomoto, M. Kobayashi,Sound field reproduction and sharing system based on the boundary surface control principle, Acoustical Science and Technology, 36(1), 1-11 (2015.1) [15] Y. Ikeda, S. Enomoto, S. Ise, S. Nakamura : Threeparty sound field sharing system based on the boundary surface control principle -Subjective assessment of voice reproduction with speaker s facing angle, Proc. ICA, Australian Acoustical Society, Sydney (2010.8) [16] S. Enomoto, Y. Ikeda, S. Ise, S. Nakamura : 3- D Sound Reproduction System for Immersive Environments Based on the Boundary Surface Control Principle, Virtual and Mixed Reality - New Trends, Volume 6773 of the series Lecture Notes in Computer Science, (2011.7) [17] M. Kobayashi, K. Ueno, M. Yamashita, S. Ise, S. Enomoto : The Effects of Spatialized Sounds on the Sense of Presence in Auditory Virtual Environments: A Psychological and Physiological Study, Presence, 24(2), (2015.5) [18], 3,, [19], 3,, [20],,,,, 20(1), (2015.3) [21] L. Yang, L. Zhang, H. Dong, A. Alelaiwi, A. E. SaddikEvaluating and Improving the Depth Accuracy of Kinect for Windows v2, IEEE Sensors Journal, 15(8), (2015.8) [22] J. Ballester, C. PheattUsing the Xbox Kinect sensor for positional data acquisition, American Journal of Physics, 81(1), (2013.1) [23],,,, 69(2), (2013.2) [24], :,, 69(6), (2013.6) ( ) 95 University of Southampton, ISVR, MSc ( )07 () ATR09 () NICT
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