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Dynamic Gesture Recognition System with Gesture Spotting Based on Self-Organizing Maps

التفاصيل البيبلوغرافية
العنوان: Dynamic Gesture Recognition System with Gesture Spotting Based on Self-Organizing Maps
المؤلفون: Hiroomi Hikawa, Yuta Ichikawa, Hidetaka Ito, Yutaka Maeda
المصدر: Applied Sciences, Vol 11, Iss 4, p 1933 (2021)
بيانات النشر: MDPI AG, 2021.
سنة النشر: 2021
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: dynamic gesture recognition, gesture spotting, self-organizing map, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: In this paper, a real-time dynamic hand gesture recognition system with gesture spotting function is proposed. In the proposed system, input video frames are converted to feature vectors, and they are used to form a posture sequence vector that represents the input gesture. Then, gesture identification and gesture spotting are carried out in the self-organizing map (SOM)-Hebb classifier. The gesture spotting function detects the end of the gesture by using the vector distance between the posture sequence vector and the winner neuron’s weight vector. The proposed gesture recognition method was tested by simulation and real-time gesture recognition experiment. Results revealed that the system could recognize nine types of gesture with an accuracy of 96.6%, and it successfully outputted the recognition result at the end of gesture using the spotting result.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/11/4/1933; https://doaj.org/toc/2076-3417
DOI: 10.3390/app11041933
URL الوصول: https://doaj.org/article/4a043a583c4648a7be7e11ecee9cf45a
رقم الأكسشن: edsdoj.4a043a583c4648a7be7e11ecee9cf45a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app11041933