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This paper presents a scheme that detects falls with a wristband-type device and a smartphone. The user needs only to wear the wristband-type device on one hand, and can place the smartphone not only at multiple positions of the body, but also in a briefcase, a purse, or a backpack. The scheme utilizes the smartphone to collect the acceleration data from the wristband-type device to decide if there...
A low-cost but high-accuracy mechanism for detecting falls is critical for many health and safety applications, including caring for the elderly. Existing approaches are unduly expensive and sensitive to user physique and biometrics. Additionally, most approaches were developed using limited, simulated fall data and often perform poorly in field tests. To resolve these issues, in this paper we propose...
Robust and reliable detection of falls is crucial especially for elderly activity monitoring systems. In this letter, we present a fall detection system using wearable devices, e.g., smartphones, and tablets, equipped with cameras and accelerometers. Since the portable device is worn by the subject, monitoring is not limited to confined areas, and extends to wherever the subject may travel, as opposed...
A study of Artificial Neural Networks (ANNs) in the elder falls detection problem is proposed. There are many efforts trying to provide an independent life for the elderly people. Fall event is one of the main problems that affect people in this age group. In order to provide a comfortable solution of this problem for elderly people, this paper presents an implementation of falls detection in mobile...
Falls are considered the main cause of fear and loss of independence among the elderly population and are also a major cause of morbidity, disability and health care utilization. In the majority of fall events external support is imperative in order to avoid major consequences. Therefore, the ability to automatically detect these fall events could help reducing the response time and significantly...
Injuries due to falls are among the leading causes of hospitalization in elderly persons, often resulting in a rapid decline in quality of life or death. Rapid response can improve the patients outcome, but this is often lacking when the injured person lives alone and the nature of the injury complicates calling for help. This paper presents an alert system for fall detection using common commercially...
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