کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
407647 678161 2015 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Activity recognition in smart homes with self verification of assignments
ترجمه فارسی عنوان
شناخت فعالیت در خانه های هوشمند با تایید تکالیف خود
کلمات کلیدی
به رسمیت شناختن فعالیت زندگی کمک کننده، خوشه بندی معیارهای ارزیابی عملکرد، طبقه بندی، قابلیت اطمینان
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Activity recognition in smart homes provides valuable benefits in the field of health and elderly care by remote monitoring of patients. In health care, capabilities of both performing the correct recognition and reducing the wrong assignments are of high importance. The novelty of the proposed activity recognition approach lies in being able to assign a category to the incoming activity, while measuring the confidence score of the assigned category that reduces the false positives in the assignments. Multiple sensors deployed at different locations of a smart home are used for activity observations. For multi-class activity classification, we propose a binary solution using support vector machines, which simplifies the problem to correct/incorrect assignments. We obtain the confidence score of each assignment by estimating the activity distribution within each class such that the assignments with low confidence are separated for further investigation by a human operator. The proposed approach is evaluated using a comprehensive performance evaluation metrics. Experimental results obtained from nine publicly available smart home datasets demonstrate a better performance of the proposed approach compared to the state of the art.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 149, Part C, 3 February 2015, Pages 1286–1298
نویسندگان
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