A Review on Fall Prediction and Prevention System for Personal Devices: Evaluation and Experimental Results
المؤلفون المشاركون
Rebaudengo, Maurizio
Hemmatpour, Masoud
Ferrero, Renato
Montrucchio, Bartolomeo
المصدر
Advances in Human-Computer Interaction
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-01
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Injuries due to unintentional falls cause high social cost in which several systems have been developed to reduce them.
Recently, two trends can be recognized.
Firstly, the market is dominated by fall detection systems, which activate an alarm after a fall occurrence, but the focus is moving towards predicting and preventing a fall, as it is the most promising approach to avoid a fall injury.
Secondly, personal devices, such as smartphones, are being exploited for implementing fall systems, because they are commonly carried by the user most of the day.
This paper reviews various fall prediction and prevention systems, with a particular interest to the ones that can rely on the sensors embedded in a smartphone, i.e., accelerometer and gyroscope.
Kinematic features obtained from the data collected from accelerometer and gyroscope have been evaluated in combination with different machine learning algorithms.
An experimental analysis compares the evaluated approaches by evaluating their accuracy and ability to predict and prevent a fall.
Results show that tilt features in combination with a decision tree algorithm present the best performance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hemmatpour, Masoud& Ferrero, Renato& Montrucchio, Bartolomeo& Rebaudengo, Maurizio. 2019. A Review on Fall Prediction and Prevention System for Personal Devices: Evaluation and Experimental Results. Advances in Human-Computer Interaction،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1118144
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hemmatpour, Masoud…[et al.]. A Review on Fall Prediction and Prevention System for Personal Devices: Evaluation and Experimental Results. Advances in Human-Computer Interaction No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1118144
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hemmatpour, Masoud& Ferrero, Renato& Montrucchio, Bartolomeo& Rebaudengo, Maurizio. A Review on Fall Prediction and Prevention System for Personal Devices: Evaluation and Experimental Results. Advances in Human-Computer Interaction. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1118144
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1118144
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر