Patents by Inventor Chenxu LU

Chenxu 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).

  • Motion behavior pattern classification method, system and device
    Patent number: 11551479
    Abstract: A motion behavior pattern classification method, system and device relating to the human motion recognition field. The method includes: S1, determining a candidate motion behavior pattern which includes a motion behavior pattern to be classified; S2, acquiring time series of behavior data of the candidate motion behavior pattern through a motion control sensor; S3, establishing an LSTM motion behavior pattern classification model through the time series; S4, predicting the motion behavior pattern to be classified through the LSTM motion pattern classification model, comparing the prediction result obtained using the sequence within the T time with the prediction result obtained using the sequence within the T+?t time using the iterative process to obtain the final prediction result, wherein T1?T?T2, T1>0, T2>T1, and the incremental step is set to be ?t, ?t>0. The technical solution of the present invention may improve accuracy while reducing the latency of the motion behavior pattern classification.
    Type: Grant
    Filed: October 30, 2019
    Date of Patent: January 10, 2023
    Assignee: XIAMEN UNIVERSITY
    Inventors: Shihui Guo, Juncong Lin, Minghong Liao, Chenxu Lu, Min Jiang, Xing Gao, Guilin Li, Xinyu Shi, Zeyong Hu
  • MOTION BEHAVIOR PATTERN CLASSIFICATION METHOD, SYSTEM AND DEVICE
    Publication number: 20200334451
    Abstract: A motion behavior pattern classification method, system and device relating to the human motion recognition field. The method includes: S1, determining a candidate motion behavior pattern which includes a motion behavior pattern to be classified; S2, acquiring time series of behavior data of the candidate motion behavior pattern through a motion control sensor; S3, establishing an LSTM motion behavior pattern classification model through the time series; S4, predicting the motion behavior pattern to be classified through the LSTM motion pattern classification model, comparing the prediction result obtained using the sequence within the T time with the prediction result obtained using the sequence within the T+?t time using the iterative process to obtain the final prediction result, wherein T1?T?T2, T1>0, T2>T1, and the incremental step is set to be ?t, ?t>0. The technical solution of the present invention may improve accuracy while reducing the latency of the motion behavior pattern classification.
    Type: Application
    Filed: October 30, 2019
    Publication date: October 22, 2020
    Inventors: Shihui GUO, Juncong LIN, Minghong LIAO, Chenxu LU, Min JIANG, Xing GAO, Guilin LI, Xinyu SHI, Zeyong HU