Edward Catley, K. Sirlantzis, G. Howells, Stephen Kelly
{"title":"Non-overlapping Dual Camera Fall Detection Using the Nao Humanoid Robot","authors":"Edward Catley, K. Sirlantzis, G. Howells, Stephen Kelly","doi":"10.1109/EST.2014.13","DOIUrl":null,"url":null,"abstract":"With an aging population and a greater desire for independence, the dangers of falling incidents in the elderly have become particularly pronounced. In light of this, several technologies have been developed with the aim of preventing or monitoring falls. Failing to strike the balance between several factors including reliability, complexity and invasion of privacy has seen prohibitive in the uptake of these systems. Some systems rely on cameras being mounted in all rooms of a user's home while others require being worn 24 hours a day. This paper explores a system using a humanoid NAO robot with dual vertically mounted cameras to perform the task of fall detection.","PeriodicalId":193536,"journal":{"name":"2014 Fifth International Conference on Emerging Security Technologies","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Fifth International Conference on Emerging Security Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EST.2014.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
With an aging population and a greater desire for independence, the dangers of falling incidents in the elderly have become particularly pronounced. In light of this, several technologies have been developed with the aim of preventing or monitoring falls. Failing to strike the balance between several factors including reliability, complexity and invasion of privacy has seen prohibitive in the uptake of these systems. Some systems rely on cameras being mounted in all rooms of a user's home while others require being worn 24 hours a day. This paper explores a system using a humanoid NAO robot with dual vertically mounted cameras to perform the task of fall detection.