Research Article

Identification of Cognitive Distraction Using Physiological Features for Adaptive Driving Safety Supporting System

Table 4

Comparing the detection capability with various combinations of individual features using AdaBoost.

Selected features Cognitive
load
Average
accuracy
ā€‰
value

Gaze Conversation 67.6 68.8
Arithmetic 66.7 67.7
Both 72.8 80.5

Head Conversation 84.5 86.2
Arithmetic 78.3 81.2
Both 84.0 89.0

Pupil Conversation 85.0 84.2
Arithmetic 86.2 86.5
Both 87.0 90.0

RRI Conversation 72.3 71.4
Arithmetic 77.3 75.3
Both 78.3 84.3

Gaze + head Conversation 86.1 87.4
Arithmetic 81.6
Both 85.8 89.9

Gaze + pupil Conversation 86.0 86.3
Arithmetic 84.5 84.6
Both 86.8 90.2

Gaze + RRI Conversation 76.1 77.6
Arithmetic 79.1 78.5
Both 79.0 84.3

Head + pupil Conversation 89.7 90.8
Arithmetic 87.1 88.7
Both 89.7 92.6

Head + RRI Conversation 87.8 89.6
Arithmetic 87.6 88.4
Both 89.6 92.9

Pupil + RRI Conversation 89.7 90.0
Arithmetic 88.1 87.6
Both 90.2 92.8

Gaze + head + pupil Conversation 89.4 90.6
Arithmetic 89.8
Both 90.2 93.0

Gaze + head + RRI Conversation 88.3 90.0
Arithmetic 89.3
Both 90.3 93.3

Gaze + pupil + RRI Conversation 89.9 90.1
Arithmetic 89.0 89.4
Both 91.1 93.5

Head + pupil + RRI Conversation 90.6 92.0
Arithmetic 89.8 91.2
Both 92.5 94.7

Gaze + head + pupil + RRI Conversation 91.0 92.3
Arithmetic 92.0 93.1
Both 92.9 95.1