IEEE Signal Processing - May 2018 - 74

as shown in Figure 17(c). The corresponding ROC curves are
shown in Figure 17(d). When the testing samples came from the
same pose, the identification rate reached 97.67%, with a false
alarm rate of 5.58%. However, as the participants progressively changed their poses from the second pose to the fifth, the
identification rate dropped from 95.66% to 88.06%, 58.83%,
and 79.29%, respectively, with a false alarm rate around 5.6%.
The system was robust to slight changes in posture, e.g., from
pose 1 to pose 2. However, as shown by the ROC curve of testing over pose 4, when the pose considerably alters the propagation environment, the TR-based human identification system
may have difficulty finding a match in the training database.

Hence, when the poses or the standing locations change, the
multipath profiles in the TR space might fall out of the person's
proximity (the range of high similarity), which degrades the
identification rate.

Wireless vital signs monitoring
Since the CSI can capture environmental perturbations due to
human activities, the features of different behaviors can be
extracted by analyzing the CSI. Among the various human
activities, breathing is an important one, since it is a fundamental physiological function that can act as a vital indicator and
predictor of health status. Although breathing introduces very

1060-6

1
0.95
Conference Room

1070-5

1070-4

Office

Reception Area

Tx

1070-1

Work Room
1070-2

EWC

Identification Rate

0.9

Office

0.85
0.8
0.75
0.7
0.65
0.6

Rx

0.55
0.5

0

0.1

0.2

0.3

0.4

0.5

False Alarm
(b)

(a)

1
0.9
0.8
Pose 2: 30°

Pose 3: 45°

0.7

Identification Rate

Pose 1: 0°

0.6
0.5
Pose 1 Versus Pose 1
Pose 1 Versus Pose 2
Pose 1 Versus Pose 3
Pose 1 Versus Pose 4
Pose 1 Versus Pose 5

0.4
0.3
0.2
0.1
0

Pose 4: 90°

Pose 5: 90°
(Pointing to the Tx)

0

0.2

0.4
0.6
False Alarm

(c)

0.8

1

(d)

FIGURE 17. The experiments on human radio biometrics. (a) The test setting floor plan; (b) the ROC curve of identifying 11 individuals; (c) a demonstration
of different poses; and (d) the ROC curve of identifying four individuals with different training and testing poses [77].

74

IEEE Signal Processing Magazine

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May 2018

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Table of Contents for the Digital Edition of IEEE Signal Processing - May 2018

Contents
IEEE Signal Processing - May 2018 - Cover1
IEEE Signal Processing - May 2018 - Cover2
IEEE Signal Processing - May 2018 - Contents
IEEE Signal Processing - May 2018 - 2
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IEEE Signal Processing - May 2018 - 132
IEEE Signal Processing - May 2018 - Cover3
IEEE Signal Processing - May 2018 - Cover4
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