Review Article
A Survey of User Authentication Based on Channel State Information
Table 3
Gesture-based user authentication applications.
| System | Users | Signal/preprocessing | Experimental scene | Purpose/classification | Performance |
| Wi-Sign [82] | 14 | Amplitude/PCA Butterworth low-pass filter | A typical office room () | Identity recognition, stranger identification/SVM | 14 people TPR: 79% Intruder detection TNR: 86% |
| WiID [83] | 21 | Amplitude/PCA | A lab (400 ft2), an office (150 ft2), a living room (192 ft2), and a bedroom (154 ft2) | Identity recognition/SVDE | An average cross-validation accuracy of 5 users: 92.8% in four environments |
| Finger Pass [55] | 7 | Amplitude and phase/IFFT | A living room (), a bedroom (), and a kitchen () | Identity recognition, stranger identification/SVM, LSTM-based DNN | 7 people: 91.4% |
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