A Data Set for Fall Detection with Smart Floor Sensors

被引：1

作者：

Truong, Charles ^{[1
]}

Atiq, Mounir ^{[1
]}

Minvielle, Ludovic ^{[1
]}

Serra, Renan ^{[2
]}

Mougeot, Mathilde ^{[1
,3
]}

Vayatis, Nicolas ^{[1
]}

机构：

[1] Univ Paris Saclay, CNRS, Ctr Borelli, ENS Paris Saclay, Gif Sur Yvette, France

[2] Tarkett GDL SA, Luxembourg, Luxembourg

[3] ENSIIE, Evry, France

来源：

IMAGE PROCESSING ON LINE | 2023年 / 13卷

关键词：

biomedical data set; fall detection; classification; multivariate time series;

D O I：

10.5201/ipol.2023.389

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This article describes a data set of falls and activities of daily living recorded with a pressure floor sensor. These signals have been recorded under two settings, one constrained - with volunteers following a predefined protocol, and one unconstrained - where data were collected in a partner nursing home. Overall 157 hours of signal are made available along with 563 manually annotated falls and 333 manually annotated activities (e.g. running, walking). For ease of use, code snippets and an online interface are also provided. Source Code The data described in this article can be downloaded from the associated web page(1). Code snippets to load and manipulate the signals and the associated metadata can be found at the article web page and also online(2).

引用

页码：183 / 197

页数：15

共 34 条

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