Acoustic cues from the floor: A new approach for fall classification

作者：

Highlights：

• An innovative floor acoustic sensor (FAS) for fall classification is presented.

• A classifier based on Support Vector Machine based fall classifier is developed.

• A dataset of fall events acquired with FAS and with aerial microphones is described.

• The FAS rejects high frequency disturbances and that propagate through the air.

• Classification performance in clean and noisy conditions show the FAS superiority.

摘要

•An innovative floor acoustic sensor (FAS) for fall classification is presented.•A classifier based on Support Vector Machine based fall classifier is developed.•A dataset of fall events acquired with FAS and with aerial microphones is described.•The FAS rejects high frequency disturbances and that propagate through the air.•Classification performance in clean and noisy conditions show the FAS superiority.

论文关键词：Floor acoustic sensor,Acoustic fall detection,Ambient assisted living,Support vector machine

论文评审过程：Received 4 December 2015, Revised 16 March 2016, Accepted 5 April 2016, Available online 27 April 2016, Version of Record 9 May 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.04.007