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作者:

Chen, Qili (Chen, Qili.) | Jiang, Jinjin (Jiang, Jinjin.)

收录:

CPCI-S

摘要:

The prediction of body posture is necessary for preventing the falls of elderly people. The prediction accuracy of traditional methods will get worse when the predicting time becomes longer. This paper focuses on the body posture prediction accuracy of the sequence to sequence model. The posture model of waist, foot, and shoulders was built and tested. The experiments show that sequence to sequence model has a high prediction performance.

关键词:

Deep learning framework posture prediction Sequence to sequence model

作者机构:

  • [ 1 ] [Chen, Qili]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Chen, Qili]Beijing Informat Sci & Technol Univ, Dept Automat, Beijing 100192, Peoples R China
  • [ 3 ] [Jiang, Jinjin]Beijing Informat Sci & Technol Univ, Dept Automat, Beijing 100192, Peoples R China
  • [ 4 ] [Chen, Qili]Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

通讯作者信息:

  • [Chen, Qili]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China;;[Chen, Qili]Beijing Informat Sci & Technol Univ, Dept Automat, Beijing 100192, Peoples R China;;[Chen, Qili]Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

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来源 :

PROCEEDINGS OF 2019 6TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS)

ISSN: 2376-5933

年份: 2019

页码: 103-107

语种: 英文

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