New Hybrid AD Methodology for Minimizing the Total Amount of Information Content: A Case Study of Rehabilitation Robot Design

Chinese Journal of Mechanical Engineering

Table 1 Information content analysis based on the new hybrid axiomatic design methodology

	DP₁₂
	Alternative solutions	The final relevance index					Information content (Recognition accuracy)
	Alternative solutions	Image processing	Wearable sensor	Photo-electric sensor	Surrounding environment perception	Tension sensor	Information content (Recognition accuracy)
FR₁₂
FR₁₂₁: Gait detection	Image processing	X	0.54	0.35			0.234
	Wearable sensor		X	0.68			0.136
	Photoelectric sensor			X			0.322
FR₁₂₂: Fall detection	Image processing	X	0.5	− 1	0.42	0.62	0.12
	Wearable sensor		X	− 1	0.45	0.82	0.089
	Photoelectric sensor			X	− 1	0.82	0.415
	Surrounding environment perception				X	0.35	0.252
	Tension sensor					X	0.184
FR₁₂₃: Detecting the training time	Image processing	X	0.42	− 1	− 1		0.252
	Wearable sensor		X	0.42	0.3		0.029
	Photoelectric sensor			X	− 1		0.007
	Surrounding environment perception				X		0.515
FR₁₂₄: Detecting the number of steps	Image processing	X	0.42	0.56	−1		0.515
	Wearable sensor		X	0.78	0.76		0.089
	Photoelectric sensor			X	0.64		0.007
	Surrounding environment perception				X		2.32
FR₁₂₅: Detecting the patient’s walking speed	Image processing	X	0.42	0.52	0.32		0.252
	Wearable sensor		X	0.42	0.3		0.515
	Photoelectric sensor			X	0.25		0.007
	Surrounding environment perception				X		2.32