Grassmann manifold based framework for automated fall detection from a camera

作者：

Highlights：

• Proposes camera based system for fall detection and recognizing daily activities.

• Activity subspaces, created for each activity, lie on a Grassmann manifold.

• Grassmann Graph-embedded Discriminant Analysis based framework for fall.

• Experimental results show robust and accurate for non-intrusive fall detection.

摘要

•Proposes camera based system for fall detection and recognizing daily activities.•Activity subspaces, created for each activity, lie on a Grassmann manifold.•Grassmann Graph-embedded Discriminant Analysis based framework for fall.•Experimental results show robust and accurate for non-intrusive fall detection.

论文关键词：Human fall detection,Assistive living,Grassmann manifolds,Grassmann graph embedding discriminant analysis

论文评审过程：Received 31 January 2021, Revised 13 January 2022, Accepted 11 March 2022, Available online 18 March 2022, Version of Record 1 April 2022.

论文官网地址：https://doi.org/10.1016/j.imavis.2022.104431