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An Intelligent Gesture Classification Model for Domestic Wheelchair Navigation with Gesture Variance Compensation
المؤلفون المشاركون
Bandara, H. M. Ravindu T.
Priyanayana, K. S.
Jayasekara, A. G. Buddhika P.
Chandima, D. P.
Gopura, R. A. R. C.
المصدر
Applied Bionics and Biomechanics
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-01-30
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Elderly and disabled population is rapidly increasing.
It is important to uplift their living standards by improving the confidence towards daily activities.
Navigation is an important task, most elderly and disabled people need assistance with.
Replacing human assistance with an intelligent system which is capable of assisting human navigation via wheelchair systems is an effective solution.
Hand gestures are often used in navigation systems.
However, those systems do not possess the capability to accurately identify gesture variances.
Therefore, this paper proposes a method to create an intelligent gesture classification system with a gesture model which was built based on human studies for every essential motion in domestic navigation with hand gesture variance compensation capability.
Experiments have been carried out to evaluate user remembering and recalling capability and adaptability towards the gesture model.
Dynamic Gesture Identification Module (DGIM), Static Gesture Identification Module (SGIM), and Gesture Clarifier (GC) have been introduced in order to identify gesture commands.
The proposed system was analyzed for system accuracy and precision using results of the experiments conducted with human users.
Accuracy of the intelligent system was determined with the use of confusion matrix.
Further, those results were analyzed using Cohen’s kappa analysis in which overall accuracy, misclassification rate, precision, and Cohen’s kappa values were calculated.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bandara, H. M. Ravindu T.& Priyanayana, K. S.& Jayasekara, A. G. Buddhika P.& Chandima, D. P.& Gopura, R. A. R. C.. 2020. An Intelligent Gesture Classification Model for Domestic Wheelchair Navigation with Gesture Variance Compensation. Applied Bionics and Biomechanics،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1120246
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Bandara, H. M. Ravindu T.…[et al.]. An Intelligent Gesture Classification Model for Domestic Wheelchair Navigation with Gesture Variance Compensation. Applied Bionics and Biomechanics No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1120246
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bandara, H. M. Ravindu T.& Priyanayana, K. S.& Jayasekara, A. G. Buddhika P.& Chandima, D. P.& Gopura, R. A. R. C.. An Intelligent Gesture Classification Model for Domestic Wheelchair Navigation with Gesture Variance Compensation. Applied Bionics and Biomechanics. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1120246
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1120246
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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