Research on the Application of Computational Geometry Technology in the Design of Complex Garment Structures

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Shoulder width measurement results and errors

Model number	The algorithm is measured by the algorithm (cm)				Error data
	First time	Second time	Third time	Mean value	Standard deviation(cm)	Mean error(cm)
	1	41.16	40.92	40.92	41.00	39.32	-1.68
	2	49.34	49.29	49.52	49.38	49.74	0.36
3	49.29	49.89	49.11	49.43	49.99	0.56
4	41.44	41.33	41.42	41.40	43.42	2.02
5	50.68	50.54	50.41	50.54	51.76	1.22
6	43.77	43.12	43.82	43.57	43.56	-0.01
7	44.76	44.38	44.39	44.51	45.48	0.97
8	76.82	47.47	47.82	57.37	57.96	0.59
9	48.63	48.04	48.38	48.35	48.73	0.38
10	48.39	48.62	48.37	48.46	49.25	0.79

Height measurement results and errors

Model number	The algorithm is measured by the algorithm (cm)				Error data
	First time	Second time	Third time	Mean value	Standard deviation(cm)	Mean error(cm)
1	167.91	167.73	167.04	167.56	167.76	-0.20
2	175.06	174.48	174.59	174.71	174.77	-0.06
3	176.88	176.47	177.04	176.80	176.64	0.16
4	180.89	180.83	182.23	181.32	181.25	0.07
5	166.13	165.93	165.74	165.93	166.07	-0.14
6	167.95	167.62	167.89	167.82	167.73	0.09
7	165.38	165.31	164.92	165.20	165.09	0.11
8	169.82	169.68	170.03	169.84	170.08	-0.24
9	172.27	172.41	172.21	172.30	172.16	0.14
10	170.07	169.92	170.27	170.09	170.11	-0.02

Chest circumference measurement results and errors

Model number	The algorithm is measured by the algorithm (cm)				Error data
	First time	Second time	Third time	Mean value	Standard deviation(cm)	Mean error(cm)
1	89.33	89.11	95.37	91.27	93.05	1.78
2	85.18	89.71	91.96	88.95	89.86	0.91
3	84.24	95.08	92.61	90.64	91.12	0.48
4	92.11	92.59	88.06	90.92	91.63	0.71
5	90.91	91.33	89.82	90.69	90.15	-0.54
6	84.07	92.28	85.74	87.36	87.44	0.08
7	94.09	93.02	84.86	90.66	92.85	2.19
8	88.91	82.02	94.15	88.36	89.28	0.92
9	83.96	94.28	87.57	88.60	88.50	-0.10
10	90.56	91.5	83.79	88.62	88.06	-0.56

Evaluation of dynamic comfort

Evaluation site	A:Shoulder sleeve	B:Elbow	C:Chest	D:Armpit	E:Shoulder width
Evaluation grade	1	2	3	4	5
Overall comfort rating	Uncomfortable	Discomfort	General	Comfort	Very comfortable

Evaluation of static comfort

Evaluation grade	Thermal comfort						G:Comprehensive evaluation index
	A:Severity	B:Loose feeling	C:Softness	D:Sultry	E:Wet feeling	F:Warmth
1	Light	Tight	Soft	It’s not hot	Very dry	It’s not warm	It’s not beautiful
2	Lighter	Tighter	Softer	sweltering	Dryness	Less warm	Less beautiful
3	General	General	General	general	General	General	general
4	Heavier	Looser	Harder	It’s a bit sultry	It’s a little wet	It’s kind of warm	prettier
5	Heavy	Loose	Very hard	sultry	Wet	Warm	beautiful

The results of the virtual design simulation experiment of 3D clothing

Design sample size	Different design processes	Test frequency			Mean value
		1	2	3
Design 10 mountaineering suits	T1(ms)	2437	2473	2606	2505
	T2(ms)	3403	3346	3545	3431
	Use reverse molding design efficiency increase ratio(%)	28.39	26.09	26.49	26.99
Design 50 mountaineering suits	T1(ms)	13699	13738	13635	13691
	T2(ms)	16541	16417	16729	17562
	Use reverse molding design efficiency increase ratio(%)	21.90	21.12	23.09	22.05
Design 100 mountaineering suits	T1(ms)	27118	27736	26693	27182
	T2(ms)	34087	34398	34078	34188
	Use reverse molding design efficiency increase ratio(%)	20.44	19.37	21.67	20.49
Design 500 mountaineering suits	T1(ms)	134353	134162	134036	134184
	T2(ms)	178842	178917	178264	178674
	Use reverse molding design efficiency increase ratio(%)	24.88	25.01	24.81	24.90