| 摘要 |
Provided are a customized self-learning identification system and method, the system comprising: one or more sensors, used to detect the signal of an object to be detected; a storage unit, used to store a sample/model library comprising a model and a training sample set; a processing unit, used to receive the signal of the detected object detected by the one or more sensors and identify the status type of the detected object according to a corresponding model in the sample/model library; an input/output device, used to output an identification result and receive feedback information inputted on the basis of the identification result; the processing unit also uses a corresponding training sample set to train a model and update the sample/model library according to the feedback information. The customized self-learning identification method of the present invention enables a user to establish a customized model, thus greatly improving the identification rate for customized status type.
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