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作 者:晁垚 申黎明 汪洋 CHAO Yao;SHEN Liming;WANG Yang(College of Furnishings and Industrial Design, Nanjing Forestry University ,Nanjing 210037, China;Anji Inspection&Testing Center, Anji 313300, China)
机构地区:[1]南京林业大学家居与工业设计学院,南京210037 [2]安吉县质量技术监督检测中心,安吉313300
出 处:《家具》2018年第2期93-97,共5页Furniture
基 金:浙江省质监系统质量技术基础建设项目:坐具产品人类工效学及安全性舒适性评价关键技术研究与应用(20180121)
摘 要:本实验通过采集偏瘦、正常、偏胖受试者在后仰、直立与前倾坐姿下的座面压力分布数据,借助LabVIEW软件读取并分析实验数据,提取出了座面压力值随受试者体型和坐姿变化显著的点,即座面压力"敏感点",后续研究以"敏感点"的压力数据作为机器学习的样本,建立体征识别系统。The research on office chairs,especially on the fatigue of sitting postures have achieved abun-dant theories.However,the study of sitting posture based on individual differences are still to be fi-nalised.By means of Lab VIEW software to read and analyze experimental data,the seat surface pressurewhich varies from the subject somatotypes and sitting postures significantly,known as pressure sensitivepoints,was extracted by collecting the pressure data on the surface of chair pan based on underweight,normal,overweight subjects on the condition of back and upright and forward sitting posture.The subse-quent research of sign recognition system was conducted by using pressure data of sensitive points as ma-chine learning samples.
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