Research Article

Driver’s Face Pose Estimation Using Fine-Grained Wi-Fi Signals for Next-Generation Internet of Vehicles

Table 6

Classification accuracy (%) of KSVM with varying values.

K valueGesture class
RSLSRMLMRALICMHDHRHL

87.588.288.488.789.186.989.288.190.389.7
89.288.990.289.788.589.390.687.790.490.4
90.491.192.692.589.390.791.489.992.292.1
90.589.391.792.189.790.389.990.291.691.0
89.391.090.590.689.489.690.188.990.690.1
89.691.391.788.588.990.390.788.491.090.4
88.390.790.691.189.690.188.989.090.588.6
90.589.189.590.289.889.688.789.090.390.6
87.590.088.787.388.187.789.388.489.087.6
87.389.489.188.289.086.988.187.586.888.2
89.187.990.088.889.586.788.387.588.186.2
86.389.589.189.087.786.588.286.990.089.5
86.586.387.689.086.388.988.290.186.287.8