Sensor Type, Axis, and Position-Based Fusion and Feature Selection for Multimodal Human Daily Activity Recognition in Wearable Body Sensor Networks

Table 12

Comparison between accuracies attained using single axis and triple axes for accelermoeter, gyroscope, and electromyography signals with sequential forward floating feature selection.

Sensor type and position	DT	SVM	RF	k-NN	No. of features
A_lt_x	89.80	91.50	91.67	82	7
G_lt_y	88.10	85.20	88.70	87.80	8
EMG	78.00	80.30	84.30	70.10	11
A_lt_x + G_lt_y	91.60	91.20	96.90	75.00	15
A_lt_x + G_lt_y + EMG	93.10	92.40	97.10	78.40	24
A_lt_all	94.20	95.10	96.20	85.10	23
G_lt_all	89	90.10	94.40	82.90	26
A, G_lt_all	96.40	97	98.40	86.30	37
A, G_lt_all + EMG	97.30	98	99.80	88.10	45