借助传统织物的手感性能测试方法和仪器，可以对薄型聚丙烯纺粘非织造布的手感性能进行测试和评价。
Thin PP spun-bond nonwovens can be tested and estimated by the traditional method and instruments for fabrics, the properties of compression, rigidity, compliance and crease recovery etc.
为了提高织物手感的机械性能表征，把人看作是测量手感的机械传感器。
In order to improve the mechanical characterization of fabric touch. The human being as a mechanical sensor of touch is considered.
本文应用BP神经网络处理服装革的手感检测信号，为织物、皮革等服装材料的手感评定探索出了一条新途径。
A new approach was suggested for data processing in assessment of fabric and leather handle in the paper.
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