In this paper, a depth based fall detection system is proposed. The proposed method consists of shape based fall characterization and a Support Vector Machine ( ...

Abstract: The proposed fall detection approach is aimed at building a support system for old age people living alone in their homes.

In this paper we propose a fall detection solution based on transformers, ie state-of-the-art neural networks for computer vision tasks.

When an on-the-ground event is detected, the depth camera sensor system uses a decision tree to produce a percentage confidence that a fall occurred (Skubic et ...

In this work, an occlusion robust method is presented based on two features: human centroid height relative to the ground and body velocity. Indeed, the first ...

Our proposed fall recognition system recognizes and classifies falls from other actions with a very high accu- racy (greater than 95%). Keywords: fall detection ...

Abstract— The purpose of this study was to implement a web based application to provide the ability to rewind and review depth videos captured in hospital ...

Feb 19, 2020 · In this work, a method is proposed based on depth videos. ... dataset shows 100% accuracy for fall and 80% for no-fall. ... I. ... activity for eld ...

In this work, an occlusion robust method is presented based on two features: human centroid height relative to the ground and body velocity. Indeed, the first ...

May 30, 2023 · Sase et al. [36] introduced a method for detecting falls using depth videos. Their method identifies falls by comparing the estimated ROI to ...