An object attribute inference method, a storage medium and an electronic device. The method includes the following steps: training a preset neural network by using a training sample comprising an action sequence and a target object attribute tag; where the action sequence is an interactive action sequence of a human body and an object. In this way, the object attribute inference model obtained through training can recognize the object attributes from the interaction action of the human body and the object, the object attributes include and are not limited to the weight, the shape, the hardness degree and the like of the object, and therefore the inference module obtained through training has the advantages of being universal in object attribute inference and wide in application range.
OBJECT ATTRIBUTE INFERENCE METHOD, STORAGE MEDIUM AND ELECTRONIC DEVICE