کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
464885 697445 2014 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
b-COELM: A fast, lightweight and accurate activity recognition model for mini-wearable devices
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
b-COELM: A fast, lightweight and accurate activity recognition model for mini-wearable devices
چکیده انگلیسی

Various mini-wearable devices have emerged in the past few years to recognize activities of daily living for users. Wearable devices are normally designed to be miniature and portable. Models running on the devices inevitably face following challenges: low-computational-complexity, lightweight and high-accuracy. In order to meet these requirements, a novel powerful activity recognition model named b-COELM is proposed in this paper. b-COELM retains the superiorities (low-computational-complexity, lightweight) of Proximal Support Vector Machine, and extends the powerful generalization ability of Extreme Learning Machine in multi-class classification problems. Experimental results show the efficiency and effectiveness of b-COELM for recognizing activities of daily living.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pervasive and Mobile Computing - Volume 15, December 2014, Pages 200–214
نویسندگان
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