TY - JOUR
T1 - 不同采样密度下体压分布特征
AU - Zhao, Chuan
AU - Yu, Sui Huai
AU - Wang, Lei
AU - Li, Wen Hua
N1 - Publisher Copyright:
© 2019, Zhejiang University Press. All right reserved.
PY - 2019/2/1
Y1 - 2019/2/1
N2 - The raw data with sampling density of 32×32 was spatially filtered to eliminate noise, in order to enhance the continuity of data distribution between independent sensors. Then sampling density of data was decreased to 24×24, 16×16, and 8×8, respectively. Four common features (mean pressure, maximum pressure, mean pressure gradient, and maximum pressure gradient) were calculated at each sampling density. The one-way ANOVA analysis showed that the differences of mean values between 32×32 sampling density and 24×24 as well as 16×16 sampling densities were small (1.1 mmHg, 2.6 mmHg), but the difference of mean value between 32×32 and 8×8 sampling densities was big (9.0 mmHg). Spearman correlation analysis revealed that the four common features of 32×32 sampling density had high correlation with that of 24×24, 16×16, and 8×8 sampling densities (P<0.05). The highest was the peak pressure correlation (0.99,P<0.05) between the 32 ×32 and 24 ×24 sampling densities, and the lowest was the mean pressure gradient correlation (0.55,P<0.05) between the 32×32 and 8×8 sampling densities. The test results showed that the pressure mat with the sampling density of 24×24 and 16×16 can provide accurate body pressure distribution characteristics.
AB - The raw data with sampling density of 32×32 was spatially filtered to eliminate noise, in order to enhance the continuity of data distribution between independent sensors. Then sampling density of data was decreased to 24×24, 16×16, and 8×8, respectively. Four common features (mean pressure, maximum pressure, mean pressure gradient, and maximum pressure gradient) were calculated at each sampling density. The one-way ANOVA analysis showed that the differences of mean values between 32×32 sampling density and 24×24 as well as 16×16 sampling densities were small (1.1 mmHg, 2.6 mmHg), but the difference of mean value between 32×32 and 8×8 sampling densities was big (9.0 mmHg). Spearman correlation analysis revealed that the four common features of 32×32 sampling density had high correlation with that of 24×24, 16×16, and 8×8 sampling densities (P<0.05). The highest was the peak pressure correlation (0.99,P<0.05) between the 32 ×32 and 24 ×24 sampling densities, and the lowest was the mean pressure gradient correlation (0.55,P<0.05) between the 32×32 and 8×8 sampling densities. The test results showed that the pressure mat with the sampling density of 24×24 and 16×16 can provide accurate body pressure distribution characteristics.
KW - Body pressure distribution
KW - Data reduction
KW - Plane seat
KW - Pressure mapping mat
KW - Riding comfort
UR - http://www.scopus.com/inward/record.url?scp=85064591694&partnerID=8YFLogxK
U2 - 10.3785/j.issn.1008-973X.2019.02.009
DO - 10.3785/j.issn.1008-973X.2019.02.009
M3 - 文章
AN - SCOPUS:85064591694
SN - 1008-973X
VL - 53
SP - 268
EP - 274
JO - Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)
JF - Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)
IS - 2
ER -