In order to recognize the actions of human’s lower limbs, a novel action recognition method based on a human joint was proposed. Firstly, hip joint was chosen as the recognition object, its y coordinates were as recognition parameter, and human action characteristics were achieved based on filtering and wavelet transform. Secondly, an improved self-organizing competitive neural network was proposed, which could classify the action characteristics automatically according to the classification number. The classification results of motion capture data proved the validity of the neural network. Finally,an action recognition method based on hidden Markov model (HMM) was introduced to realize the recognition of classification results of human action characteristicswith the change direction of y coordinates. The proposed action recognition method needs less action information and has a fast calculation speed. Experiments proved the method hada high recognition rate and a good application prospect.


    Access

    Download


    Export, share and cite



    Title :

    Action Recognition of Human’s Lower Limbs Based on a Human Joint



    Publication date :

    2016-09-01


    Remarks:

    doi:10.12928/telkomnika.v14i3.3556
    TELKOMNIKA (Telecommunication Computing Electronics and Control); Vol 14, No 3: September 2016; 1192-1202 ; 2302-9293 ; 1693-6930 ; 10.12928/telkomnika.v14i3



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




    Vehicle seat configured to restrain lower limbs

    KOMURA TAKAMICHI / FUKAWATASE OSAMU | European Patent Office | 2020

    Free access

    Motion planning for dancing robots based on human's dancing motion

    Ikeura, R. / Nakazato, H. / Inooka, H. | British Library Online Contents | 1997


    Research on EMG Signal of Human Lower Limbs Based on Empirical Mode Decomposition

    Wang, Junyao / Dai, Yuehong / Si, Xiaxi | British Library Conference Proceedings | 2022


    Considerations of human's long stay in closed systems

    Ashida, Akira | Online Contents | 1994


    Considerations of human's long stay in closed systems

    Ashida, A. / International Academy of Astronautics | British Library Conference Proceedings | 1994