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Author:

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

Indexed by:

CPCI-S

Abstract:

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.

Keyword:

Sequence to sequence model Deep learning framework posture prediction

Author Community:

  • [ 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

Reprint Author's Address:

  • [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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Source :

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

ISSN: 2376-5933

Year: 2019

Page: 103-107

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 28

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