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Author:

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

Indexed by:

EI

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. © 2019 IEEE.

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Author Community:

  • [ 1 ] [Chen, Qili]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Chen, Qili]Department of Automation, Beijing Information Science and Technology University, Beijing; 100192, China
  • [ 3 ] [Chen, Qili]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 4 ] [Jiang, Jinjin]Department of Automation, Beijing Information Science and Technology University, Beijing; 100192, China

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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: 22

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