Gaze Head Eye (a) deg (b) 45 deg (c) 9 deg 1: - 1(b) - [5], [6] [7] Stahl [8], [9] Fang [1], [11] Itti [12] Itti [13] [7] Fang [1],

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1 1 1 Structure from Motion - 1 Ville [1] NAC EMR-9 [2] 1 Osaka University [3], [4] 1 1(a) 1(c) 9 9 9 c 216 Information Processing Society of Japan 1

Gaze Head Eye (a) deg (b) 45 deg (c) 9 deg 1: - 1(b) - [5], [6] 2 3-4 5 2 [7] Stahl [8], [9] Fang [1], [11] Itti [12] Itti [13] 1-3 - - [7] Fang [1], [11] 2 (Vestibulo-Ocular Reflex:VOR) c 216 Information Processing Society of Japan 2

9 8 7 6 5 4 3 2 1-1 1 2 3 4 5 6 7 8 gaze eyeball head 2: - [time] Head l damper: λx (t) 4: Gaze Head Gaze gaze head 3: 2 3 - - 4-2 - - F l + Δx 5: 2 41 2 2 ( 4) 2-2 l 5 x λ (1) g(t) h(t) c 216 Information Processing Society of Japan 3

F = mh (t) = k {g(t) h(t) l} λh (t) g(t) = ah(t) + bh (t) + ch (t) + d (1) 42 T (2) g 1 g T = h 1 h 1 h a 1 1 b c h T h T h T 1 d (2) h t g t t h(t) g(t) (h(t) = [h 1, h 2,, h T ] h(t) = [g 1, g 2,, g T ]) (2) A(3) A + a, b, c, d (4) h 1 h 1 h 1 1 A = (3) h T h T h T 1 a b c = A+ d g 1 g T (4) 1 RANSAC ( 1 ) n (2) ( 2 ) a, b, c, d ( 3 ) 2 ( 4 ) x x ( 5 ) ( 6 ) 1-5 m ( 7 ) 6 (2) a, b, c, d n = 5 m = 1 x = 1 5 3 51 (VICON) SfM(Structure from Motion) 3 3 [14] (GoPro HERO3) (NAC EMR-9) 6 c 216 Information Processing Society of Japan 4

EMR-9 GoPro 6: 8: 頭部角度眼球角度 眼球角度 頭部角度 視線角度 視線角度 9: 7: 3 Structure from Motion 3 3 7 8 52 ( 9) 3 53 531 ( 1) c 216 Information Processing Society of Japan 5

6 4 2 1: ( ) [ ] 116 79-2 -4-6 6 4 2-2 -4-6 6 4 2-2 -4-6 -8 Frequency 6 5 4 3 (a) A (b) B (c) C 1: Frequency 6 5 4 3 3 2 1-1 -2-3 -4 1-1 -2-3 -4-5 1-1 -2-3 -4 (a) A (b) B (c) C 12: 2 1-4 -35-3 -25-2 -15-1 -5 5 1 15 2 25 3 35 4 2 1-4 -35-3 -25-2 -15-1 -5 5 1 15 2 25 3 35 4 (a) (b) 11: ( ) ( 11)???? ( 1) 3% - 2-2 532 ( 12) c 216 Information Processing Society of Japan 6

Frequency Frequency 3 25 2 15 1 5-4 -35-3 -25-2 -15-1 -5 5 1 15 2 25 3 35 4 3 25 2 15 1 5 [deg ] [deg ] -4-35 -3-25 -2-15 -1-5 5 1 15 2 25 3 35 4 (a) (b) 13: ( ) 2: ( ) [ ] 79 68 ( 13)???? ( 2) 54 2 3 6 3 3: 1 2 92 77 A 2 1 97 82 3 4 222 168 B 4 3 149 99 5 6 156 19 C 6 5 129 95 55 - - - - 2 6 - c 216 Information Processing Society of Japan 7

2 2 1 2 2 2-1 (A ) (JST) (CREST) Vol 61, No 4, pp 518 525 (27) [3] SOBa and J-MOdobez: Visual focus of attention estimation from head pose posterior probability distributions, Multimedia and Expo, 28 IEEE International Conference, pp 53 56 (28) [4] SOBa and J-MOdobez: Recognizing visual focus of attention from head pose in natural meetings, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol 39, pp 1886 1893 (29) [5] - Japan Journal of Physiological Psychology and Psychophysiology, Vol 11, No 2, pp 69 76 (1993) [6] GMJones, DGuitton and ABerthoz: Changing patterns of eye-head coordination during 6 h of optically reversed vision, Experimental Brain Research, Vol 69, pp 531 544 (1988) [7] TOkada, HYamazoe, IMitsugami and YYagi: Preliminaly Analysis of Gait Changes that Correspond to Gaze Direcions, Proc of the International Joint Workshop on Advanced Sensing/Visual Attention and Interaction (ASVAI213), pp 788 792 (213) [8] ZCThumser, BSOommen, ISKofman and JSStahl: Idiosyncratic variations in eye-head coupling observed in the laboratory also manifest during spontaneous behavior in a natural setting, Experimental Brain Research, Vol 191, pp 419 434 (28) [9] JSStahl: Amplitude of human head movements associated with horizontal saccades, Experimental Brain Research, Vol 126, pp 41 54 (1999) [1] YFang, MEmoto, RNakashima, KMatsumiya, IKuriki and SShioiri: Eye-Position Distribution Depending on Head Orientation when Observing Movies on Ultrahigh-Definition Television, ITE Transactions on Media Technology and Applications, Vol 3, pp 149 154 (215) [11] YFang, RNakashima, KMatsumiya, IKuriki and SShioiri: Eye-Head Coordination for Visual Cognitive Processing (215) [12] LItti, CKoch and ENiebur: A Model of Saliency-Based Visual Attention for Rapid Scene Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 2, No 11, pp 1254 1259 (1998) [13] YSugano, YMatsushita and YSato: Appearance-Based Gaze Estimation Using Visual Saliency, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 35, No 2, pp 329 341 (213) [14] TShiratori, HSPark, LSigal, YSheikh and JKHodgins: Motion capture from ody-mounted cameras, ACMTransactions on Graphics, Vol 3, No 4 (211) [1] VRantanen, TVanhala, OTuisku, P-HNiemenlehto, JVerho, VSurakka, MJuhola and JLekkala: A Wearable, Wireless Gaze Tracker with Integrated Selection Command Source for Human-Computer Interaction, Information Technology in Biomedicine, IEEE Transactions on, Vol 15, No 5, pp 795 81 (211) [2] c 216 Information Processing Society of Japan 8

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