Drive-Safe Signal Processing & Advanced Information Technologies ...

Analyzing driving signals
The experiments are carried out on two different subsets of
the CIAR dataset, one having 28 drivers and the other having
314 drivers.
Gauss mixture
number
2
4
29.25
28.49
34.04
34.04
B/BdB
BdB
46.80
47.34
64.89
60.96
A/AdA
AdA
22.87
24.46
26.06
25.00
E/EdE
EdE
9.04
13.82
11.17
14.05
S/SdS
SdS
6.38
7.10
8.51
9.04
T/TdT
TdT
Correct classification rates for
28 drivers (B: brake, A: gas, E:
motor speed, S: vehicle speed, T:
wheel angle, dX: derivative
features).
8
39.36
35.63
67.55
68.08
30.31
26.20
11.17
12.76
8.51
9.67
Gauss mixture
number
8 (Bayesian)
8 (weighted)
B+A
(1+2)
A+E
(2+1)
B+E
(2+1)
A+B+E
(3+2+1)
number Correct recognition rates for 28
drivers using combination of
64.36
63.29
44.68
68.61
different modalities (B: brake, A:
69.14
68.08
46.80
68.61
gas, E: motor speed, S: vehicle
speed, T: wheel angle, dX:
derivative features).