GaitRec-Net: A Deep Neural Network for Gait Disorder Detection Using Ground Reaction Force

Table 3

A proposed GaitRec-Net model summary with various parameters.

S. No.	Layer (type)	Output shape	Kernel size	Activation function	Parameters
0	Input layer	(None, 505, 1)
1	Conv1D	(None, 496, 100)	10	ReLu	1100
2	MaxPooling1D	(None, 248, 100)	—	—	0
3	Conv1D	(None, 48, 200)	10	ReLu	200200
4	MaxPooling1D	(None, 24, 200)	—	—	0
5	Conv1D	(None, 3, 400)	10	ReLu	800400
6	Global_average_pooling1D	(None, 400)	—	—	0
7	Dropout	(None, 400)	—	—	0
8	Dense	(None, 2)		Softmax	802
	Nontrainable parameters				0
	Trainable parameters				1,002,502
	Total parameters				1,002,502