26 Development of Learning Support System for Fixation of Basketball Shoot Form

Similar documents
,,.,.,,.,.,.,.,,.,..,,,, i

,,,,., C Java,,.,,.,., ,,.,, i

19 Systematization of Problem Solving Strategy in High School Mathematics for Improving Metacognitive Ability

Web Web Web Web Web, i

21 e-learning Development of Real-time Learner Detection System for e-learning

SOM SOM(Self-Organizing Maps) SOM SOM SOM SOM SOM SOM i


e-learning e e e e e-learning 2 Web e-leaning e 4 GP 4 e-learning e-learning e-learning e LMS LMS Internet Navigware

2 ( ) i

17 Proposal of an Algorithm of Image Extraction and Research on Improvement of a Man-machine Interface of Food Intake Measuring System

28 Horizontal angle correction using straight line detection in an equirectangular image

Takens / / 1989/1/1 2009/9/ /1/1 2009/9/ /1/1 2009/9/30,,, i

25 Removal of the fricative sounds that occur in the electronic stethoscope

23 A Comparison of Flick and Ring Document Scrolling in Touch-based Mobile Phones

Adult Attachment Projective AAP PARS PARS PARS PARS Table

日本看護管理学会誌15-2

, (GPS: Global Positioning Systemg),.,, (LBS: Local Based Services).. GPS,.,. RFID LAN,.,.,.,,,.,..,.,.,,, i

29 jjencode JavaScript

Web Basic Web SAS-2 Web SAS-2 i

soturon.dvi

1996. Vol. 16, No. 2, pp The Learning Process in "Tanoshii-Taiiku" Theory through the Spectrum of Teaching Styles Abstract In recent years, the

01_渡部先生_21-2.indd

kut-paper-template.dvi

29 Short-time prediction of time series data for binary option trade

220 28;29) 30 35) 26;27) % 8.0% 9 36) 8) 14) 37) O O 13 2 E S % % 2 6 1fl 2fl 3fl 3 4

IT,, i

Vol. 48 No. 3 Mar PM PM PMBOK PM PM PM PM PM A Proposal and Its Demonstration of Developing System for Project Managers through University-Indus

Core Ethics Vol. : - : : : -

, IT.,.,..,.. i

A Study on Throw Simulation for Baseball Pitching Machine with Rollers and Its Optimization Shinobu SAKAI*5, Yuichiro KITAGAWA, Ryo KANAI and Juhachi

11_土居美有紀_様.indd

25 D Effects of viewpoints of head mounted wearable 3D display on human task performance

kut-paper-template.dvi

( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst

( ) fnirs ( ) An analysis of the brain activity during playing video games: comparing master with not master Shingo Hattahara, 1 Nobuto Fuji

kut-paper-template2.dvi

i


Wide Scanner TWAIN Source ユーザーズガイド


第62巻 第1号 平成24年4月/石こうを用いた木材ペレット

1 1 tf-idf tf-idf i

Vol. 48 No. 4 Apr LAN TCP/IP LAN TCP/IP 1 PC TCP/IP 1 PC User-mode Linux 12 Development of a System to Visualize Computer Network Behavior for L

1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,

24 Region-Based Image Retrieval using Fuzzy Clustering

Abstract This paper concerns with a method of dynamic image cognition. Our image cognition method has two distinguished features. One is that the imag

Japanese Journal of Applied Psychology

,,.,,., II,,,.,,.,.,,,.,,,.,, II i

IT i

P2P P2P peer peer P2P peer P2P peer P2P i

161 J 1 J 1997 FC 1998 J J J J J2 J1 J2 J1 J2 J1 J J1 J1 J J 2011 FIFA 2012 J 40 56

Web Stamps 96 KJ Stamps Web Vol 8, No 1, 2004

On Japanese empathy and interpretation IKEDA, Masatoshi In this paper I compared it with empathy as a manner of psychotherapist about interpretation a

Gilovich et al., 1985, p.313 Gilovich et al Adams, 1992; Albright, 1993; Koehler and Conley, 2003; Clark, 2005a, 2005b Gilovi

16_.....E...._.I.v2006

24 Depth scaling of binocular stereopsis by observer s own movements

SFCJ2-MisaGrace

,,,, : - i -

A pp CALL College Life CD-ROM Development of CD-ROM English Teaching Materials, College Life Series, for Improving English Communica

% 95% 2002, 2004, Dunkel 1986, p.100 1

18-1Ł\”ƒ.ai‡Ì…R…s†[

Sobel Canny i

) 2) , , ) 1 2 Q1 / Q2 Q Q4 /// Q5 Q6 3,4 Q7 5, Q8 HP Q9 Q10 13 Q11

大学における原価計算教育の現状と課題

21 Key Exchange method for portable terminal with direct input by user

J No J. J

SURF,,., 55%,.,., SURF(Speeded Up Robust Features), 4 (,,, ), SURF.,, 84%, 96%, 28%, 32%.,,,. SURF, i

<8EAD89AE91E58A778A778F708CA48B868B C91E634378D862E696E6462>

NINJAL Project Review Vol.3 No.3

第5部門_05_垣本 徹.indd

短距離スプリントドリルが大学生野球選手の短距離走速度向上に与える効果


Mizuki Kaneda and Naoyuki Osaka (Kyoto University) The Japanese Journal of Psychology 2007, Vol. 78, No. 3, pp

28_3-03-伊勢坊 中原先生-原著③.indd

II

05_藤田先生_責

Web Web Web Web 1 1,,,,,, Web, Web - i -

66-1 田中健吾・松浦紗織.pwd

Fig.l Music score for ensemble Fig.Z Definition of each indicator Table I Correlation coefficient between hitting lag variation /,(n) and hitting cycl

2 1 ( ) 2 ( ) i

fiš„v5.dvi

21 Effects of background stimuli by changing speed color matching color stimulus

28 TCG SURF Card recognition using SURF in TCG play video


20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow

SNS ( ) SNS(Social Networking Service) SNS SNS i

n 2 n (Dynamic Programming : DP) (Genetic Algorithm : GA) 2 i

untitled

DTN DTN DTN DTN i

API SCORM e-learning SCORM Sharable Content Object Reference ModelSCORM e-learning e-learning SCORM SCORM SCO LMS SCORM SCORM HTML XML JavaScript SCO

2013 Future University Hakodate 2013 System Information Science Practice Group Report biblive : Project Name biblive : Recording and sharing experienc

KII, Masanobu Vol.7 No Spring

対朝鮮人絹織物移出と繊維専門商社の生産過程への進出

28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment

P2P Web Proxy P2P Web Proxy P2P P2P Web Proxy P2P Web Proxy Web P2P WebProxy i

Q-Learning Support-Vector-Machine NIKKEI NET Infoseek MSN i

01-譴カ蜴・-8.fm

特-3.indd

21 A contents organization method for information sharing systems

172309_XP_天理大学学報第227輯(体育編)

Transcription:

26 Development of Learning Support System for Fixation of Basketball Shoot Form 1175094

,.,,.,,.,,.,,,.,,,,.,,,.,,,,, Kinect i

Abstract Development of Learning Support System for Fixation of Basketball Shoot Form YAMANAKA Yusuke Motor skill is a problem-solving ability to be acquired by experience and training. In particular, motor skill is necessary for sports and acquired by training. Generally, learning method for acquiring motor skill is observed and analyzed by coachers and using information devices like from the outside of the body. Therefore motor skill is important that indirectly by measuring the human perceptual and cognitive functions. In addition, general experiment method of motor skill studies compare the movement with expert and novice during practice. We focused on the basketball shoot form of novice. We developed a system to point out the differences by comparing the skillfull player s shoot form model and learners one. However, this system was not yet realize the iterative learning. In this paper, we developed a learning suppoort system for fixation of basketball shoot form in the free throw. This system support novice form by imitating skillful player s form in iterative process. Then we constructed a model from analysis of the skillful player s movement, and developed the support system for beginers based on the model. key words motor-skill, basketball, shootform, kinect ii

1 1 2 3 2.1.................................... 3 2.1.1............................ 3 2.1.2....................... 3 2.2................................... 5 2.3.............................. 8 2.4......... 9 2.5................................... 11 2.6................................... 12 3 13 4 15 4.1...................... 15 4.2........................ 16 4.3.......................... 18 4.3.1......................... 19 4.3.2......................... 20 KP KR( ).......... 20.......................... 21 5 23 5.1........................ 23 iii

5.1.1....... 24 5.1.2....................... 25 5.1.3................ 26 5.1.4..................... 27 5.2............................. 28 5.2.1............. 28 5.2.2............................ 28 5.3................................ 30 5.4............................ 31 5.5.................................. 32 5.6................................. 33 6 35 6.1................................ 35 6.2................................ 36 6.2.1............................... 36 6.2.2 3DCG............................. 40 6.2.3........................... 40 6.2.4............................... 41 6.2.5............................. 42 6.2.6...................... 42 7 47 7.1................................... 47 7.2................................... 48 7.3...................................... 51 7.3.1................... 51 iv

7.3.2....................... 52 7.3.3....................... 53 7.3.4............................. 53 8 54 55 56 v

2.1....................... 8 2.2 Gentile............................. 10 4.1.................. 16 5.1............................ 29 5.2............................... 33 6.1............................... 36 6.2......................... 42 6.3................................. 44 6.4.................................... 44 6.5.................................... 45 6.6 KR................................... 45 6.7 KP................................... 46 6.8............................... 46 7.1 A CE, VE, E....... 49 7.2 A CE, VE, E....... 49 7.3 B CE, VE, E....... 50 7.4 B CE, VE, E....... 50 7.5 C CE, VE, E....... 51 vi

1, [1].,,.,,.,,,.,,,, [2] Schema [3],.,,. [4],,,.,,,,., 2,. 3, 1

. 4,. 5,., 6. 7,. 2

2 2.1 2.1.1 [1].,.,,.,,. 2.1.2,.. 1., 2. 3. 4. 3

2.1, 1. 2., 3. 4..,..,.,,.,,.,.,.,.,,.,,,,,.,,.,,.,.,.,,.,,,,.,.,.,,,,..,.,,,.,., 4

2.2,.,.,,,.,,. 2.2,., [5],,.,.,,.,.,,,,.,,., Fitts 3 [6]. 1.,.,,,,,.,,,.. 5

2.2 2.,., KR,,. KR.,,. 3.,.,,.,.,., 2. 1. Adams, 2 [2].,,,,,,. 2,.,,. Adams.,.,.,., 6

2.2.,.,.,. 2. 1,.,,.,,. 2,,.,.,. 2., Schmidt [3].,,..,., 4,,,.,,.,,,,. 2.1. 7

2.3 2.1,. 2.3,,.,., KR(Knowledge of Result) KP Knowledge of Performance 2. KR,,. KP,,.. 8

2.4,,,,.,,., 3.,.,.,.,,,.,.,.,,,,..,. 2.4 1. 1,,,, 4. 2 Gentile [7]. 1,, Gross skill 9

2.4 Fine skill.,, 1 Discrete skill, Serial skill, Continuous skill., Motor skill,, Cognitive skill., Open skill,, Closed skill. Gentile, 2.,.,,. 2.2. 2.2 Gentile discrete skill,. Gentile 10

2.5, /,.,.,,,. 2.5, [8] [9].,,,.., 5,,,,,,.,.,,.,,,,.,,, 11

2.6, [4].,. 2.6,,,.,,,., [4]., 2.4. 12

3, 4.225m.,.,.,,,,.,.,,.,,,.,,.,,.,,.,,.,,,., 13

.,.,,.,,,.,,. 14

4,.,,.,.. 4.1 2.3,..,,,, 2..,,.,.,, 15

4.2,,.,,,,. 4.1. 4.1 4.2,.,.,,.,, 1, 1., 1,.,. 1., constant error:ce, variable error, total variability.. 16

4.2 1 CE. n i=1 CE = (x i ) n CE,,., 3. 2 VE. n i=1 V E = (x i x) 2 n VE,,. CE VE,., CE, VE.,., VE CE.,.,,., VE CE. CE VE., CE VE E. E. n E = CE 2 + V E 2 i=1 = (x i ) 2 n E,,. E CE VE, E.,,. 2. 1, 17

4.3,,.,,.,.,,,.,,.,,,.,,,.,.,.,,.,,,.,,.,,, 5 1. 4.3., 2.3, KP, KR., 18

4.3,.,. 4.3.1,.,,, trial error learning.,.,,.,,,,.,,, KR, KP.,,,.,,.,,.,. 19

4.3 4.3.2,,,.,,.. KP KR( ),,., KR, KP).,,.,,,., KR KP, 1.,, 2., 3.. 1.,.,, KP-delay interval KP. KP,. 20

4.3 2. KR KP,.,,.,.,,., KR KP,,., KR KP. 3. KR KP,. KR KP,., - - 3,,,.,.,,.,.,, 21

4.3.,,.,,.,.,,.. 22

5,,.,,.,,.,.,. 5.1,.., 3, [2]., 4. 1. 2. 3. 4. 23

5.1,.,. 5.1.1.,,,.,.,.. 1.,.,,,,.,,.,.,. 2.,,.,.,. 3.,,,.,,.. 4., 24

5.1,, 180.,,, 170 190.,,,. 5.,,.,,. 6.,., 5.1.2 7.,.,.,,,., 1. 1, 1.5. 5.1.2 5.1.1,.,,.,.. 25

5.1 1., 5.1.1,. 2.,,.,,.,,,,.. 3.,.,,.,., 5.1.3,.,,.,.,.. 1.,.,,., 26

5.1,, 2. 2.,.,,.,,.,,. 3.,,.,.,,,.,,. 5.1.4, 1.5,.,,, 1.5.,. 27

5.2 5.2,,,,. 5.2.1, 4.2 CE, VE, E., 3 x y z., 3., CE, VE, E., 1,., 1,.,,,.,,,.,,... 5.2.2,,., 4.1., 28

5.2.,.,. 5.5.,. 1, 2, 3, 3., 1,,. 2,,. 3 2,.,,.,.. 3,,., 4.1, 2 3.,,., 5.1. 5.1 29

5.3 5.3, 1, 1, 1., 4.3., 5, 1,,.,.,.,,,,.,,.,.,,,.,,,,.,, 3DCG. 3DCG 1,,. 3DCG,.. 30

5.4 5.4 1,. 4.3, KR,, KP., 5.5., KR, KP., KR.,,,.,,.,.,,,.,. KP. 5.2..,,.,.,.,,.,.,. 31

5.5,,.,,.,,.,,. 5.5,,.,.,,., 5.1.,.,,,, 5.2.,.,,.,,.,,,,.. 32

5.6 5.2. 5.2 5.6,. 4.3,.,.,,.,.,.,,,.,.,,, 4.,., 33

5.6.,,... 34

6 6.1,.,,., 1 3DCG. 1, 5,.,.,. KR,, KP.,,.,,,.,,.,., Microsoft Kinect for windows v2.0., 35

6.2, Microsoft XNA4.0. Microsoft Visual Studio 2013 C., 5. 6.2 6.2.1,. Kinect, Kinect. Kinect 25 3., Kinect.. 6.1, X, Y. Z. 36

6.2.,,., 3,,,.. 2,,,. 1. a Y > Y b Z < Z c Z < Z 2. a : Z < Z 3. a Y < Y b Z < Z 4., a Y < Y 5., a Y Y 6., a X < X 37

6.2 7. a 0 70 0 < Z,Y Z,Y < 70 8. a Z < Z b Z < Z c Y < Y d Y 9. a Y < Y b.,.,. 2 A,B <, > threshold + 0 < (A B) (1.0 + band 0.1) 2 A,B c 2 = a 2 + b 2 2abcosC angle < threshold + band 2 A,B (A B) (1.0 + band 0.1) < threshold A, (A B) + (1.0 + band 0.1) > 0 + threshold (A B) (1.0 + band 0.1) < 0 threshold A 38

6.2 threshold band < (A B) (A B) < threshold + band, 1 3 3, 1., 2.3,,,., 1, 1.,, 1, 1.,,., 1, 1.,,,.,, 1.,.,.,, 3. 3,.,.., 39

6.2.,. 6.2.2 3DCG 1.,, 3DCG.,,,,,,. 3D 3D., 3D. 3D,,. 3D,, 3D.,, x,y,z 60fps,., sin.,,,,.,,,,. 6.2.3 KR KP. KR,., 40

6.2,.,,., CE, VE, E.,,.,,.,, 20. KP.,,,., 4.3.,,. 6.2.4..,,., XML(Extensible Markup Language).,,.,,,., CE, VE, E. 41

6.2 6.2.5,,.,. RGB,.,,,.,.,,.,.,,,.,,. 6.2.6 6.2. 6.2 42

6.2,,.,.,.,,.,,.,., 3DCG,. 5,.,,.,.,.,.,. 1. 6.3. 2. 6.3. 3. 6.5., 3D.,. 4. KR KR 6.6., 43

6.2 システムの機能 図 6.3 タイトル画面 図 6.4 説明画面 ジを表示する. 5. KP の表示画面, 課題の提示 KP の表示画面, 課題の提示を図 6.7 に示す. メッセージによって指摘対象を知らせ, モ デルに見られない動作であれば, 写真を合わせて提示する. 加えて, その指摘対象の改善 方法をメッセージで提示する. 指摘対象となった動作は次の学習サイクルで課題となる. 6. 課題の焦点化画面 44

6.2 システムの機能 図 6.5 観測画面 図 6.6 KR の画面 課題の焦点化画面を図 6.8 に示す. 学習者が指摘対象となる課題の達成イメージが湧か ない場合に任意でその動作を実際に体を動かしながら確かめることができる. 45

6.2 システムの機能 図 6.7 KP の画面 図 6.8 課題の焦点化画面 46

7 7.1,,.,,.,,.. 1. 2 2. 11 3. CE, VE, E, 4. 2 10,.,,. a b c 47

7.2 d,.,.,,. e,,.,. f. g, h i 7.2, 2, 1,.,. A A, 2, 8., CE. VE., E,., 48

7.2.,.,,.,.,. 7.1 7.2 A.,,. 7.1 A CE, VE, E 7.2 A CE, VE, E B B, 1, 5, 4., CE 49

7.2 VE, B., CE, VE, E,.,,.,.,,,.,,..,,. 7.3 7.4 B.,,. 7.3 B CE, VE, E 7.4 B CE, VE, E 50

7.3 C C, 10,. CE., VE. E., 4, 3, 9.,.,.,.,.,. 7.5 C.,,. 7.5 C CE, VE, E 7.3 7.3.1 2 1,., A, 51

7.3,.,. A,.., B,.,. B,.., B,.,. C,, CE,.. C,,., VE, C,,. 7.3.2,,, (threshold).,.,, 52

7.3.,,.. 7.3.3,,,..,,.,,,,,.,. 7.3.4,.,,.,,.,,. 53

8,,.,,. 2,.,.,,,.,,,.,,,.,.,,.,.,,,. 54

,,.,,,.,,,., 3,, 4., 1. 2,, 1, 4,,,,,,,, 3,,,,,,., 6,. 6,,. 6,. 55

[1],,, 2009. [2] J.A Adams, A closed-loop theory of motor learning, Journal of Motor Behavior, 3, 111-150, 1971. [3] R.A Schmidt, A schema theory of discretre motor skill learning, Psychological Review, Vol.82, no.4, pp.225-260, 1975. [4],,, Vol.113, no.482, pp.113-118, 2014. [5], Motor Learning J.Exerc.Physiol. 9(3): 149-156, 1994. [6] P.M Fitts, Perceptual-Motor Skill Learning. in Categories of Human Learning, ed. A.W. Melton, pp.243-285, Academis Press, New York, 1964. [7] A.M Gentile, A working model of skill acquisition with application to teaching, Quest, Vol.17, pp.3-23, 1972. [8],,, 2004. [9],,, 2012. [10],,,, NC2002-202, 53-58,2002. [11],,,,,,,, Vol110, No.ET2010-91, pp311-316, 2011. 56