Research Article

A High-Efficiency Fatigued Speech Feature Selection Method for Air Traffic Controllers Based on Improved Compressed Sensing

Table 2

The fatigue dataset utilized in this study.

Fatigue data setNumberExpressionExplanation

1Control categoryR, area control; A, approach control; T, tower control
2ATC rank5, level 5; 4, level 4; 3, level 3; 2, level 2; 1, level 1; 0, trainee
3–10Time (UTC)3–6, time of starting work; 7–10, time of ending work
11SexF, female; M, male
12 and 13AgeArabic numeral (age in years)
14 and 15OrderNn, N is a digital indicator and n is an Arabic numeral indicating the nth instruction issued by the ATC while working
16 and 17Status14th, “-;” 15th, voice command; 1, error; 2, ambiguity; 3, hesitation or pause; 4, fatigue