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1
2 3 Cyclesports USBhostAPI Arduino 3 LED LED LED Cyclesports Cyclesports
3
4 (PCA) K K SVM SVM LED Cyclesports Cyclesports Cyclesports
5
6 1 LED [1] ( ) 4
7 1.1: (km) (%) (m/km 2 ) (m/ ) (m/ ) , , , , [2] LED Walmink [3] LED LED 1.3 Cyclesports 5
8 [4][5] Cyclesports 50hz 3 CSV 3 K Cyclesports 6
9 2 HASC( ) challenge [6] 2.1 Cossalter [7] MotoGp2006 Condro [8] 7
10 [4] (ITS) 2.2 Bao [9] 20 Zhang [10] [5] wavelet 2.3 8
11 9
12 wavelet 10
13 3.1: km wavelet [11] Apple ipad 11
14 3.1: REGREX 3 3Hz CSV m 25m 7km 15km
15 3.2: X Y Z 13
16 3.3: X Y Z 14
17 3.4:
18 3.5: cm MINOURA MINOURA( ) [ih-100-s] 22-29mm Apple ipad Android 16
19 3.6: SonyEricsson Xperia arc(lt15 i) : Xperia arc LT15 i RAM 512MB ROM 1GB MSM8255 1GHz X Y Z 3 GPS 50hz CSV HTTP POST 17
20 3.7: CSV 3 CSV
21 3.8:
22 3.9: : 1m 5cm 5mm Bao [9]
23 3.10: 50 (16 ) 1 CSV
24 3.11: [12] [13] Zhang [10] X,Y,Z A x,a y,a z t MI(t) MI(t) = A x (t) 2 + A y (t) 2 + A z (t) 2 (3.1) AI VI (3.2) (3.3) T 32 AI = 1 T T ( MI(t)) (3.2) t=1 V I = 1 T T ( (MI(t) AI) 2 ) (3.3) t=1 22
25 3.12: SMA SMA = 1 T T ( T T A x (t) + A y (t) + A z (t) ) (3.4) t=1 t=1 t=1 F (F (1),F (2),F (3),F (4), ) 32 FFT energy = ( F ( i) 2 ) (3.5) i=2 RMS RMS = 1 T T ( A(t) 2 ) (3.6) t=1 23
26 3.13:
27 K SUNDING SD-548C1 25
28 4.1: km Kps : 26
29 km/h 4.2: 4.3: 27
30 : m m [14] 10m 30m 3m 6m 5m km 28
31 2 4.5: CSV 4.2 CSV 28 1 CSV
32 4.6: 4.2: CSV K K WEKA R e1071 e1071 1vs1 30
33 cost gamma 27 Yang [15] 3 27 K 4.5 (PCA) R R fa.parallel() X Z X Z
34 4.7: 4.3: 27 K (k=11) K 27 K K 1 20 K
35 4.4: K (k=11) : 27 SVM K K 1 20 K K K SVM 27 gamma cost K 33
36 4.6: SVM : K 27 K 11 SVM 27 SVM = = c=100, g= c=1000, g= SVM 11 gamma 0.01 cost K 4.7 K X Z X Z 11 34
37 5 LED 5 LED 5.1 LED 3 LED LED 5.2 Cyclesports Android R e1071 LIBSVM 4 35
38 LED RGB LED 2 2 ( ) Cyclesports Cyclesports Chang LIBSVM cost gamma microsd 36
39 microsd X LIBSVM gamma 0.5 cost : Cyclesports USBhostAPI FTDriver 3 LED Arduino Duemilanove Arduino Android 37
40 Arduino CONECT CONECT Arduino LED FTDriver Arduino Arduino 3 LED LED LED 5.2: Arduino 5.5 Cyclesports 38
41 5.3: LED 1 LED Arduino 5.4 Arduino CONECT 5.5 LED LED LED
42 5.4: Arduino 5.5: Cyclesports LED 223.5s LED m 40
43 5.1: s 223.5s : 5.6 Cyclesports LED Cyclesports LED LED 41
44 5.7: Cyclesports LED Cyclesports
45 Cyclesports Cyclesports LED Cyclesports 7 Cyclesports LED 5.8: 43
46 5.2: LED LED LED LED Cyclesports LED p=0.006( 0.05) Cyclesports Cyclesports LED LED LED LED LED 3 LED 1 5 Cyclesports 44
47 1 LED 1 p=0.99( 0.05) LED LED 3 p 0.91( 0.05) 3 LED 4 Cyclesports 4 p=0.57( 0.05) t LED Cyclesports 0.2 Cyclesports Cyclesports 6.84 LED ( 0.05) Cyclesports LED Cyclesports LED 15km 50km 35km 1.2m 45
48 5.3: 14 Cyclesports LED LED LED LED : 5.4: Cyclesports p= p= p= p= : Cyclesports LED
49 5.6: Cyclesports (T =t) (T =t)
50
51 3 11 K Cyclesports LED USBhostAPI 3 LED Cyclesports LED Cyclesports Cyclesports LED LED 49
52 50
53 [1].. environ/1pdf/3.pdf, [2],,.. IPSJ SIG Technical Report vol2011-ec-20 No.8, May [3] Wouter walmink, Florian Floyd mueller, and Alan chatham. Lumahelm - an interactive helmet. In CHI 2013 Extended Abstracts, April [4],,..,, (DICOMO2012), July [5],,,,,.. IPSJ SIG Technical Report 2006-CVIM-155, September [6],,. Hasc2010corpus.,, (DICOMO), pp , July [7] Vittore Cossalter, Andrea Aguggiaro, Dirk Debus, Alessandro Bellati, and Andrea Ambrogi. Real cases motorcycle and rider race data investigation: Fall behavior analysis. In Proc. of 20th International Technical Conference on the Enhanced Safety of Vehicles, June
54 [8] Nowy Condro, Meng-Han Li, and Ray-I Chang. Motosafe: Active safe system for digital forensics of motorcycle rider with android. In International Journal of Information and Electronics Engineering,Vol.2,No.4, July [9] Ling Bao and Stephen S.Intille. Activity recognition from user-annotated acceleration data. In PERVASIVE 2004 LNCS 3001, pp. 1 17, [10] Mi Zhang and Alexander A.Sawchuk. Motion primitive-based human activity recognition using a bag-of-features approach. In IHI 12, January [11] Hidenobu Goto and Motoki Miura. Examination of sensor positions to detect bicycle speeding behavior. In KES-IIMSS, pp , June [12].. 23, February [13] , February [14] jitennsyadou.pdf, November. [15] Jun Yang. Toward physical activity diary: Motion recognition using simple acceleration features with mobile phones. IMCE 09, October
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