Riding posture, as well as leg motion, is very important for cycling. To improve riding skills, it is very useful for riders to show their riding posture during cycling. In this study, we aim for developing a method to estimate a rider’s posture only using sensors attached to a bicycle or the rider. For the first step, we propose a method to estimate handgrip position. The method uses a Support Vector Machine based on the observed data from a 6-axis force/torque sensor installed at an ahead stem. Through the experiments, our estimation method achieved both high precision and high recall.

1. tamura@mech.chuo-u.ac.jp

22. Z
Y
Y
X

23. FX,"FY,"FZ,"MX,"MY,"MZ
Z
Y
Y
X
Drops
Hoods
Tops

24. FX
FY
FZ

25. MX
MZ
MY

26. FY&(N)
80 100 120 140
+150
+175
+200
+225
F
Z&
(N)
M
X&
(Nm)
FY&(N)
80 100 120 140
+10
+15
+20
+25
M
X&
(Nm)
+10
+15
+20
+25
FZ&(N)
+225 +200 +175 +150

27. FY&(N)
80 100 120 140
+150
+175
+200
+225
F
Z&
(N)
M
X&
(Nm)
FY&(N)
80 100 120 140
+10
+15
+20
+25
M
X&
(Nm)
+10
+15
+20
+25
FZ&(N)
+225 +200 +175 +150
FY,"FZ,"MX&

28. x = (FY
0
, FZ
0
, MX
0
)
k(x, xn) = exp kx xnk2
f(x) =
N
X
n=1
antnk(x, xn) + b
an tn xn
b
N

30. TrueEstimated Drops Hoods Tops Release Recall (%)
Drops 40980 79 6974 0 85.3%
Hoods 0 48107 151 0 99.7%
Tops 4 11 47563 0 100.0%
Release 18 96 575 496 41.9%
Precision (%) 99.9% 99.6% 86.1% 100.0%
Confusion Matrix

31. 300
0 100 200
Time (s)
Drops
Hoods
Tops
Drops
Hoods
Tops
Release
300
0 100 200
Time (s)

32. FZ
-200
FZ (N)
Density
-100 0
-50
-150
Tops
Hoods
Drops

33. FZ
-200
FZ (N)
Density
-100 0
-50
-150
Tops
Hoods
Drops