腰背部へのせん断力提示による歩行誘導手法の提案と評価
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(2) Vol.2019-HCI-181 No.17 2019/1/22. IPSJ SIG Technical Report. 腰背部. リュックサック. .. 装着者が感じる 相対的な回転力 せん断力 リュックサックが 移動する方向. 1:. 2.2. (Electrical Muscle Stimulation, EMS) yaw [23] .. [24, 25] .. 2. Yaw. 2.2.1 4 [12,13]. 4. 2. HMD [14] . [26] HMD HMD 2.2.2. 4 1 [15]. 3. 3.1 [16–18] Frey Roll [19] (Galvanic Vestibular Stimulation, GVS) Roll. 1 [20–22]. Pfeiffer. c 2019 Information Processing Society of Japan ⃝. 3.2. 2.
(3) Vol.2019-HCI-181 No.17 2019/1/22. IPSJ SIG Technical Report. Hardware Mobile. Microcontroller. Dual. Motor. App. (obniz). Motor Driver. Moto. Driven. .. Logic. ) ( AA Battery (1.5V x 6). 4: 2:. 4. 4.1 クッション. 1:. 4.1.1 駆動部. 1. 腰背部. CW. CC. W. 従動部. リュックサック. (. ). CCW/Neutral/CW. 3:. 3 (. (CCW)/ / 2. 3. /. 5a). (CW)/. 6. /. 1. 5b). (. CCW/Neutral/CW (CCW)/. (CW). / 3. 5 (. R=400mm) (. (Clock Wise CW). ). (Counter Clock Wise CCW). 4.66kg [27] 2 ×5. 3 CW. 5.0kg. 3.0kg. 1. CCW. ×. 2. 30. 4 (TAMIYA. TorqueTuned2 344.2:1). (DFRobot (Anker. ×2+. Bluetooth. DF-MD V1.3). 1. 5V4.8A 20100mA h) (CambrianRobotics. ( obniz). 2.0kg Wi-Fi. c 2019 Information Processing Society of Japan ⃝. 3 ×6). (M = 20.8 SD = 1.3). 19 8. (. 23 7. 1. ) 4.1.2 6. 3.
(4) Vol.2019-HCI-181 No.17 2019/1/22. IPSJ SIG Technical Report. 4.2. (a) 条件. リュックサック 1. 3.0kg. 2. 5.0kg. 3. 3.0kg. 4. 5.0kg. 5. 3.0kg. 6. 5.0kg. デバイスの駆動パターン. 正答. 2:. 4.2.1 2. 左回旋(CCW). CCW. 1 Neutral. 変化なし(Neutral). CW. 右回旋(CW). 19. SD = 1.3). 8. (. 23 7. (M = 20.8 1. ). 7m × 5m. 7. (ZED Stereo Camera Stereolabs Inc.). (b). OpenPose*1. Deep Learning 左回旋. 右並進. 右回旋. 左並進. 5: (a). 変化なし. わからない. 10m 25. (b). 1m CCW/Neutral/CW. 3. 1 2. 1 5. 1. 15. 3.0kg 5.0kg. 2. 30. (. =30. ×5. 3. ). ×. 2. 8 Bluetooth. 6:. Neutral CCW. 100%. CW User7. 60% Neutral. 0% 30 30. (CCW)/ /. /. (CW)/ 60. / 4.2.2 9. 20.0%(= 1/5) 1. t. (6. =30. ) =30. .. (6 ). User1(. CCW:3.0kg t(7) = 4.68 p < 0.01 CW:3.0kg. ). CCW:3.0kg. t(7) = 4.46 p < 0.01 CCW:5.0kg t(7) = 4.20 p < 0.01. ). Neutral. CW:5.0kg t(7) = 4.28 p < 0.01. User2( *1. c 2019 Information Processing Society of Japan ⃝. ×5. CW:3.0kg 2. ). 2. User2(. CCW:5.0kg. CCW:3.0kg. ×5. 1. 4 CW:5.0kg. https://github.com/CMU-Perceptual-Computing-Lab/ openpose. 4.
(5) Vol.2019-HCI-181 No.17 2019/1/22. IPSJ SIG Technical Report Participant. θ◦. Stereo camera. Walking direction. θ◦. 10. 1" 5". User7. Friedman 7". Starting point. Goal line. 3". (χ2 (11) = 67.571. 12 p < .001). 7:. 12. Wilcoxon Signed Rank. FDR. Benjamini-Hochberg Headphone. 1. & Eye mask. 5%. Device Starting point. {CW:3.0kg. )}. {CW:5.0kg( Goal line. ) CW:5.0kg(. 5. ) CW:5.0kg(. )}. 5. User7. Friedman FDR. 8:. Benjamini-. Hochberg. 2. 12. User1 2 3. CCW:3.0kg( CW:5.0kg(. ). ). 9.65degree/m. -12.9degree/m. 9. 3 User7. User4 User7. 1 User4. User7. 4.3 θ◦ θ. ◦. .. x y. 0). (0 (d 0). (x y). 2 Q1 Q2. 2. Q3 Q4. 5. ∼ 5:. 1: 180 y θ ≃ arctan [degree/m] π(x − d) x−d. 1. ◦. Q1 Q3 Q2 Q4. [24]. c 2019 Information Processing Society of Japan ⃝. 5.
(6) Vol.2019-HCI-181 No.17 2019/1/22. IPSJ SIG Technical Report. 9:. (. :. 10:. :. ). (. ). 1:. 2: Q1. blindfold. Neutral. *. CW. *. CCW 5.0kg. non-blindfold. *. CW. *. Neutral. *. CW. *. CCW 5.0kg. * *. *. CW. *. * *. *. *. *. *. *. *. *. *. *. *. *. *. *. *. *. *. *. *. * *. *. * * *. *. *. *. *. *. *. * *. *. *. *. *. *. * *. *. *. *. *. * *. *. CW. Q4. * * * * *. *. *. *. *. *. * * *. *. *. * *. Q3. * *. *. *. *. CCW. Neutral. *. *. *. *. *. *. *. *. *. Q2. 5.0kg CW. *. CCW. CW. * *. *. *. Neutral. CCW. *. *. Neutral CCW. 3.0kg. *. 3.0kg. Neutral. CCW 3.0kg. CW. CCW. *:q-value<0.05 (FDR-corrected p-value). 5.0kg. Neutral. 3.0kg. non-blindfold Neutral. blindfold. * * *. * *. *. 11:. c 2019 Information Processing Society of Japan ⃝. 6.
(7) Vol.2019-HCI-181 No.17 2019/1/22. IPSJ SIG Technical Report. 3: degree/m HMD [14] GVS [22]. *2. -14.3∼8.2. *2. -10.9∼10.9. EMS [23]. -15.8∼15.9. Hanger-Reflex [24] Our Method. *3. -7.0∼6.1 -12.9∼9.6. 11. 4 Q1. 62.5% Q3. Q4. 100% Q2. 75% 5.3. •. .. •. [25]. •. 2 1. • • .. 5. 5.1 11.3degree/m. 3 EMS. [23] 3 VR. 5.2. ?. *2. [14, 22]. *3. [25]. 5.4. mm/m degree/m 4 2. 2. CW CCW. U [24]. c 2019 Information Processing Society of Japan ⃝. 7.
(8) Vol.2019-HCI-181 No.17 2019/1/22. IPSJ SIG Technical Report. [11]. [12]. 6.. [13]. [14]. 11.3degree/m [15] [16]. [17]. [1] [2] [3]. [4]. [5]. [6]. [7]. [8]. [9]. [10]. Baddeley A. Working memory, Science, Vol.255, No.5044, pp.556-559, 1992. Eric M.L, Lisa M.M. Cell phones change the way we walk, Gait & Posture, Vol.35, No.4, pp.688-690, 2012. , , , -, , Vol.51, No.1, pp.52-61, 2015. , , , , , , , , , , , . , Japanese Journal of Health Promotion and Physical Therapy, Vol.6, No.1, pp.35-39, 2016 S.R¨ umelin, E.Rukzio, R.Hardy. NaviRadar: a novel tactile information display for pedestrian navigation, In Proc. of the 24th Annual ACM Symposium on User Interface Software and Technology, pp.293-302, 2011. M.Pielot, B.Poppinga, S.Boll. PocketNavigator: Vibrotactile Waypoint Navigation for Everyday Mobile Devices, In Proc. of the 12th International Conference on Human-Computer Interaction with Mobile Devices and Services, pp.423-426, 2010. H. Kawaguchi, T.Nojima. STRAVIGATION: a Vibrotactile Mobile Navigation for Exploration-like Sightseeing, In Proc. of the 9th International Conference on Advances in Computer Entertainment, pp.517-520, 2012. D.Szymczak, C.Magnusson, K.Rassmus-Gr¨ohn. Guiding Tourists through Haptic Interaction: Vibration Feedback in the Lund Time Machine, Proceedings of the 2012 International Conference on Haptics: Perception, Devices, Mobility, and Communication, pp.157-162, 2012. K. Tsukada, M. Yasumura. ActiveBelt: Belt-type Wearable Tactile Display for Directional Navigation, In Proc. of the 6th International Conference on Ubiquitous Computing, pp.384-399 2004. Jan B. F. Van Erp Hendrick A. H. C. Van Veen C.Jansen T.Bobbins. Waypoint Navigation with a Vibrotactile Waist Belt, ACM Transactions on Applied. c 2019 Information Processing Society of Japan ⃝. [18]. [19]. [20]. [21]. [22]. [23]. [24]. [25]. [26]. [27]. Perception, Vol.2, No.2, pp.106-117, 2005. A. Meier et al. Exploring Vibrotactile Feedback on the Body and Foot for the Purpose of Pedestrian Navigation, In Proc. of the 2nd International Workshop on Sensor-based Activity Recognition and Interaction, pp.11:1-11:11, 2015. H.William, Jr.Warren, B.A.Kay, W.D.Zosh, A.P.Duchon, S.Sahuc. Optic flow is used to control human walking, Nature Neuroscience, Vol.4, pp.213216, 2001. M. Furukawa, H.Yoshikawa, T.Hachisu, S.Fukushima, H.Kajimoto. ”Vection Field” for Pedestrian Traffic Control, In Proc. of the 2nd Augmented Human International Conference, pp.19:1-19:8, 2011. A. Ishii et al. Optical Marionette: Graphical Manipulation of Human’s Walking Direction, In Proc. of the 29th Annual Symposium on User Interface Software and Technology, pp.705-716, 2016. S.S.Stevens. On the psychophysical law, Psychological Review, Vol.64, No.3, pp.151-181 1957. T.Amemiya, H.Gomi. Buru-Navi3: Behavioral Navigations Using Illusory Pulled Sensation Created by Thumbsized Vibrator, In Proc. of ACM SIGGRAPH2014 Emerging Technologies, Article 4, 2014 J.Rekimoto. Traxion: A Tactile Interaction Device with Virtual Force Sensation, In Proc. of the 26th Annual ACM Symposium on User Interface Software and Technology, pp. 427-431, 2013. , , .2 , , Vol.22, No.1, pp.125-134, 2017. M.Frey. CabBoots: Shoes with Integrated Guidance System, In Proc. of the 1st International Conference on Tangible and Embedded Interaction, pp.245-246, 2007. R.C.Fitzpatrick, D.L.Wardman, J.L.Taylor. Effects of galvanic vestibular stimulation during human walking, Journal of physiology, Vol.517, No.3, pp.931-939, 1999. , , , . 17 , , pp.339-342, 2003. , , , . , , Vol.48, No.3, pp.1326-1335, 2007. M.Pfeiffer et al. Cruise Control for Pedestrians: Controlling Walking Direction using Electrical Muscle Stimulation, In Proc. of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp.2505-2514, 2015. , , . , , Vol.21, No.4, 2016. Y.Kon et al. HangerON: A Belt-Type Human Walking Controller Using the Hanger Reflex Haptic Illusion, ACM SIGGRAPH 2017 Emerging Technologies, pp.10:1-10:2, 2017 , , , , , , . , , Vol.20, No.4, pp.291-298, 2015. , , , . , , pp.33-33, 2010.. 8.
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