Activity recognition for ASD children based on joints estimation

Dongxu Gao, Zhaojie Ju, Yinfeng Fang, Jiangtao Cao, Chenguang Yang, Honghai Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Human motion recognition is a trending topic and could be applied in many areas, the motion estimation of ASD children is more challenging because of the high uncertainty of their activities, we thus introduced a novel method which is designed for estimating the upper joints and recognising their special motions, we verified the proposed method on our recorded ASD children dataset and adult dataset, the experimental results show the proposed method is effective on the dataset.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1538616451
ISBN (Print)978-1538616468
DOIs
Publication statusPublished - 1 Dec 2017

Keywords

  • joints estimation
  • activity recognition
  • ASD dataset

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