2018
DOI: 10.3390/app8101995
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An Image-Based Fall Detection System for the Elderly

Abstract: Due to advances in medical technology, the elderly population has continued to grow. Elderly healthcare issues have been widely discussed—especially fall accidents—because a fall can lead to a fracture and have serious consequences. Therefore, the effective detection of fall accidents is important for both elderly people and their caregivers. In this work, we designed an Image-based FAll Detection System (IFADS) for nursing homes, where public areas are usually equipped with surveillance cameras. Unlike existi… Show more

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Cited by 33 publications
(22 citation statements)
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“…This algorithm, integrated into OpenCV and used in [ 59 ], first converts images RGB to hue-saturation-value (HSV) and, starting with frames where a CNN has created a bounding box (BB) around a detected person, it determines the hue histogram in each BB. Then, morphological operations are applied to reduce noise associated with illumination.…”
Section: Discussionmentioning
confidence: 99%
“…This algorithm, integrated into OpenCV and used in [ 59 ], first converts images RGB to hue-saturation-value (HSV) and, starting with frames where a CNN has created a bounding box (BB) around a detected person, it determines the hue histogram in each BB. Then, morphological operations are applied to reduce noise associated with illumination.…”
Section: Discussionmentioning
confidence: 99%
“…One study that has basis development by using a conventional device (Soewito et al, 2015) which originated from Indonesia and one study from Brazil (Rodrigues et al, 2018). A total of two studies conducted in Japan (Kong et al, 2018;Sumiya et al, 2015) practice image analysis in detecting fall events and one study originated from Taiwan (Lu & Chu, 2018).…”
Section: General Findings and Characteristics Of The Study Included In The Reviewmentioning
confidence: 99%
“…[18] propose a method for human posture-based and movements-based monitoring, limited however to only 5 postures (standing, bending, sitting, lying and lying toward) and 4 movements (running, jump, inactive, active). IFADS (Image-based FAll Detection System) [19] focuses on falls that might happen while sitting down and standing up from a chair, a situation of potential danger for elderly people.…”
Section: Ambient Assisted Living Systemsmentioning
confidence: 99%