Patents by Inventor Yun-Zhong LU

Yun-Zhong LU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Action evaluation model building apparatus and action evaluation model building method thereof
    Patent number: 11397471
    Abstract: An action evaluation model building apparatus and an action evaluation model building method thereof are provided. The action evaluation model building apparatus stores a plurality of raw data sets and a plurality of standard action labels corresponding thereto. Based on machine learning algorithms, the action evaluation model building apparatus computes the raw data sets and performs a supervised learning to build a feature vector creation model and a classifier model. The action evaluation model building apparatus determines a representation action feature vector of each standard action label by randomly generating a plurality of action feature vectors and inputting them into the classifier model. The action evaluation model building apparatus builds an action evaluation model based on the feature vector creation model, the classifier model and the representation action feature vectors.
    Type: Grant
    Filed: December 4, 2017
    Date of Patent: July 26, 2022
    Assignee: INSTITUTE FOR INFORMATION INDUSTRY
    Inventors: Chen-Kuo Chiang, Yun-Zhong Lu, Bo-Nian Chen
  • ACTION EVALUATION MODEL BUILDING APPARATUS AND ACTION EVALUATION MODEL BUILDING METHOD THEREOF
    Publication number: 20190146590
    Abstract: An action evaluation model building apparatus and an action evaluation model building method thereof are provided. The action evaluation model building apparatus stores a plurality of raw data sets and a plurality of standard action labels corresponding thereto. Based on machine learning algorithms, the action evaluation model building apparatus computes the raw data sets and performs a supervised learning to build a feature vector creation model and a classifier model. The action evaluation model building apparatus determines a representation action feature vector of each standard action label by randomly generating a plurality of action feature vectors and inputting them into the classifier model. The action evaluation model building apparatus builds an action evaluation model based on the feature vector creation model, the classifier model and the representation action feature vectors.
    Type: Application
    Filed: December 4, 2017
    Publication date: May 16, 2019
    Inventors: Chen-Kuo CHIANG, Yun-Zhong LU, Bo-Nian CHEN