کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10345494 698329 2014 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Human fall detection on embedded platform using depth maps and wireless accelerometer
ترجمه فارسی عنوان
تشخیص سقوط انسان در سکوی تعبیه شده با استفاده از نقشه های عمق و شتاب سنج بی سیم
کلمات کلیدی
تشخیص افتادن، تحلیل عمق تصویر، تکنولوژی کمک، فن آوری سنسور برای خانه های هوشمند،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
Since falls are a major public health problem in an aging society, there is considerable demand for low-cost fall detection systems. One of the main reasons for non-acceptance of the currently available solutions by seniors is that the fall detectors using only inertial sensors generate too much false alarms. This means that some daily activities are erroneously signaled as fall, which in turn leads to frustration of the users. In this paper we present how to design and implement a low-cost system for reliable fall detection with very low false alarm ratio. The detection of the fall is done on the basis of accelerometric data and depth maps. A tri-axial accelerometer is used to indicate the potential fall as well as to indicate whether the person is in motion. If the measured acceleration is higher than an assumed threshold value, the algorithm extracts the person, calculates the features and then executes the SVM-based classifier to authenticate the fall alarm. It is a 365/7/24 embedded system permitting unobtrusive fall detection as well as preserving privacy of the user.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods and Programs in Biomedicine - Volume 117, Issue 3, December 2014, Pages 489-501
نویسندگان
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