Notice of Retraction: Development of Fall Characteristics Collection System for Fall Prevention Strategies

Abstract

Falls often cause serious injury and health threats for elderly people. It is also the major obstacle to independent living for frail and elderly people. Many researchers try to establish an efficient fall prevention strategies for elderly people by collecting a lot of fall characteristics. However, it is difficult to obtain these characteristics simply from the questionnaires of elderly people. Since they may forget or misremember their falling scenario. In this work, we propose a fall characteristics collection system for designing fall prevention strategies. A waist-mounted tri-axial accelerometer is used to capture the movement data of the human body when elderly people fall. Then, the proposed algorithm uses the variations of angle between acceleration vector and three axes to determine the fall characteristics which include falling directions and impact parts. Experimental results demonstrate effectiveness of the proposed scheme. The system is not only cost effective but also portable that fulfills the requirements of fall characteristics data collection.

Automatic Fall Monitoring: A Review

“…Sum vector magnitude (F5) has been used in most studies for detecting abnormal signals. The highest peak during the sudden change of this value is used to indicate a fall [ 32 , 38 , 46 , 48 – 50 , 53 , 65 , 67 – 70 , 72 – 75 , 77 – 82 , 84 – 86 , 89 – 91 , 93 , 96 , 97 , 101 , 102 , 104 , 106 , 107 ]. In [ 85 ], F5 was used to indicate the free-fall state ( i.e.…”

Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors

“…According to [ 43 ], $43.8 billion dollars are estimated to be used in fall-related medical care expenditures by 2020. It is of extreme importance to find ways to minimize these costs, and at the same time, improve the quality of life of the people who suffer the consequences of a fall [ 43 , 44 ]. The easiest way to accomplish this is through prevention.…”

“…Although these data collection practices do provide relevant information, the information is not always reliable. This happens because people often forget or remember incorrectly the exact conditions of their fall [ 43 ].…”

“…Hsieh et al proposed a falling characteristics collection system that gathers patients' fall patterns in order to create fall prevention strategies [ 43 ]. The prototype takes advantage of a 6G tri-axial accelerometer that measures the three axial accelerations of a fall.…”

Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions

“…Fall-related medical care incurs a high financial expenditure with a $43.8 billion projected cost by 2020 [ 4 ]. Existing systems mainly focus on detecting a fall with little emphasis on fall prediction and prevention.…”