Fall Detection Based on Convolutional Neural Network and XGBoost

Xinchi Zhao; Anming Hu; Wei He

doi:10.3788/LOP57.161024

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 16 >Page 161024 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 16, 161024 (2020)

Fall Detection Based on Convolutional Neural Network and XGBoost

Xinchi Zhao^1、2, Anming Hu^1、2, and Wei He^1、*

Author Affiliations

¹Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 201800, China

²University of Chinese Academy of Sciences, Beijing 100864, China

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DOI: 10.3788/LOP57.161024 Cite this Article Set citation alerts

Xinchi Zhao, Anming Hu, Wei He. Fall Detection Based on Convolutional Neural Network and XGBoost[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161024 Copy Citation Text

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Xinchi Zhao, Anming Hu, Wei He. Fall Detection Based on Convolutional Neural Network and XGBoost[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161024

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