کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6976349 | 1453406 | 2014 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
An individual-specific fall detection model based on the statistical process control chart
ترجمه فارسی عنوان
یک مدل شناسایی سقوط فردی بر اساس نمودار کنترل فرآیند آماری
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
تصادفات پاییز، تشخیص افتادن، نمودار کنترل فرآیند آماری،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بهداشت و امنیت شیمی
چکیده انگلیسی
Falls remain one of the leading causes of fatal and nonfatal injuries in many countries. Fall detection is an important method to protect fallers by minimizing injury severity. There are some common limitations in existing fall detection models. In particular, the fall indicators and detection thresholds were arbitrarily predetermined without any theoretical and/or experimental basis, and most fall detection models cannot address inter-individual differences. This study presents a novel pre-impact fall detection model based on the statistical process control chart that is able to address the existing limitations. The fall indicators in this model were selected based on experimental findings. The fall detection model is individual-specific, since it is constructed using individual historical movement data. The fall detection model demonstrates a high accuracy with up to 94.7% sensitivity and 99.2% specificity. In addition, this model can also provide sufficient time for triggering fall protection device in the pre-impact phase, thus efficient in preventing fall injuries.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Safety Science - Volume 64, April 2014, Pages 13-21
Journal: Safety Science - Volume 64, April 2014, Pages 13-21
نویسندگان
Xinyao Hu, Xingda Qu,