The invention provides a material recognition method based on texture surface contact acceleration touch sense information, and belongs to the fields of electronic information, artificial intelligence, mode recognition and machine learning. The method includes the steps of: 1) dividing objects into different material subclasses, selecting objects corresponding to the different material subclasses, and collecting triaxial acceleration data to configure a training sample data set; 2) extracting features from the training samples to obtain fusion feature vectors of the material subclasses, which form a fusion feature matrix; 3) training a feed-forward neural network by means of the matrix, and collecting the triaxial acceleration data of a to-be-tested object and extracting the features, feeding the features to the feed-forward neural network, and predicting and outputting a subclass material, which is corresponding to a maximum value in the matrix, by the network, thereby obtaining the material analysis result of the to-be-tested object. The device includes a vibration sensing body, a data collection module and an upper computer. In the method, by acquiring the contact acceleration information of the surface texture of a commodity, the material of the commodity is determined. The method and the device are applied to internet shopping and can easily, accurately and effectively reflect the actual situation of a commodity.