Table 5.

Comparison between the mean value and coefficient of variation for $F_1$ score of detecting four lying postures for different sensor placements and classifiers including Ensemble Trees (ET), Linear Discriminator Analysis (LDA), Support Vector Machine (SVM), LSTM with fixed learning rate (LSTM), and Adaptive LSTM (Ada-LSTM) for leave-one-subject-out validation using integrated dataset.

	Location	ET	LDA	SVM	LSTM	AdaLSTM
Mean Value(%)	Left thigh	90.6	94.6	91.4	92.9	93.7
	Right thigh	97.3	96.9	91.4	93.2	94.0
	Chest	95.4	95.4	96.7	90.7	95.0
	Left wrist	65.9	42.1	58.4	54.1	63.3
	Right wrist	78.6	66.7	74.3	42.1	69.2
Coefficient of variation	Left thigh	0.19	0.14	0.25	0.09	0.21
	Right thigh	0.13	0.15	0.20	0.16	0.17
	Chest	0.13	0.13	0.24	0.25	0.12
	Left wrist	0.39	0.50	0.50	0.53	0.42
	Right wrist	0.34	0.38	0.32	0.40	0.39