SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds
المؤلفون المشاركون
Schmid, Maurizio
Laudani, Antonino
Muscillo, Rossana
Conforto, Silvia
Bibbo, Daniele
Salvini, Alessandro
Riganti-Fulginei, Francesco
Bernabucci, Ivan
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-11-27
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Two approaches to the classification of different locomotor activities performed at various speeds are here presented and evaluated: a maximum a posteriori (MAP) Bayes’ classification scheme and a Support Vector Machine (SVM) are applied on a 2D projection of 16 features extracted from accelerometer data.
The locomotor activities (level walking, stair climbing, and stair descending) were recorded by an inertial sensor placed on the shank (preferred leg), performed in a natural indoor-outdoor scenario by 10 healthy young adults (age 25–35 yrs.).
From each segmented activity epoch, sixteen features were chosen in the frequency and time domain.
Dimension reduction was then performed through 2D Sammon’s mapping.
An Artificial Neural Network (ANN) was trained to mimic Sammon’s mapping on the whole dataset.
In the Bayes’ approach, the two features were then fed to a Bayes’ classifier that incorporates an update rule, while, in the SVM scheme, the ANN was considered as the kernel function of the classifier.
Bayes’ approach performed slightly better than SVM on both the training set (91.4% versus 90.7%) and the testing set (84.2% versus 76.0%), favoring the proposed Bayes’ scheme as more suitable than the proposed SVM in distinguishing among the different monitored activities.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Schmid, Maurizio& Riganti-Fulginei, Francesco& Bernabucci, Ivan& Laudani, Antonino& Bibbo, Daniele& Muscillo, Rossana…[et al.]. 2013. SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-464385
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Schmid, Maurizio…[et al.]. SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-464385
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Schmid, Maurizio& Riganti-Fulginei, Francesco& Bernabucci, Ivan& Laudani, Antonino& Bibbo, Daniele& Muscillo, Rossana…[et al.]. SVM versus MAP on Accelerometer Data to Distinguish among Locomotor Activities Executed at Different Speeds. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-464385
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-464385
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