VA algorithm for elderly's falling detection with 2d-pose-estimation

Pichayakul Jenpoomjai, Potsawat Wosri, Somchoke Ruengittinun, Chih Lin Hu, Chalothon Chootong

研究成果: 書貢獻/報告類型會議論文篇章同行評審

4 引文 斯高帕斯(Scopus)

摘要

This paper aims to reduce the losses in emergency cases of elderly falling in residential living environments. We design a falling detection system that can determine the human pose-estimation using the TensorFlow APIs to identify the falling of seniors. The proposed specific VA algorithm that considers time, velocity and acceleration factors of human movement, the falling detection system can better analyze the falling and obtain more accurate pose-estimation. To examine the proposed system, the experiments were conducted to testify basic specifications of fallings upon real data traces of human motion records. Results show the acceleration of human movement can relatively affect the classification of actions. the proposed approach achieves an accuracy of 88% on the test data on falling detection.

原文???core.languages.en_GB???
主出版物標題Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面236-240
頁數5
ISBN(電子)9781728128207
DOIs
出版狀態已出版 - 8月 2019
事件12th International Conference on Ubi-Media Computing, Ubi-Media 2019 - Bali, Indonesia
持續時間: 6 8月 20199 8月 2019

出版系列

名字Proceedings - 2019 12th International Conference on Ubi-Media Computing, Ubi-Media 2019

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???event.eventtypes.event.conference???12th International Conference on Ubi-Media Computing, Ubi-Media 2019
國家/地區Indonesia
城市Bali
期間6/08/199/08/19

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