التفاصيل البيبلوغرافية
| العنوان: |
Gesture imitation and recognition using Kinect sensor and extreme learning machines |
| المؤلفون: |
Yavşan, Emrehan, Uçar, Ayşegül |
| المساهمون: |
TR32854, TR24225 |
| سنة النشر: |
2016 |
| المجموعة: |
Firat University Institutional Open Archives (DSpace@FIRAT) |
| مصطلحات موضوعية: |
Fırat Üniversitesi Kütüphanesi::TEKNOLOJİ, Human action recognition, NAO humanoid robot, Xbox 360 Kinect, Extreme learning machines |
| الوصف: |
This study presents a framework that recognizes and imitates human upper-body motions in real time. The framework consists of two parts. In the first part, a transformation algorithm is applied to 3D human motion data captured by a Kinect. The data are then converted into the robot’s joint angles by the algorithm. The human upper-body motions are successfully imitated by the NAO humanoid robot in real time. In the second part, the human action recognition algorithm is implemented for upper-body gestures. A human action dataset is also created for the upper-body movements. Each action is performed 10 times by twenty-four users. The collected joint angles are divided into six action classes. Extreme Learning Machines (ELMs) are used to classify the human actions. Additionally, the Feed-Forward Neural Networks (FNNs) and K-Nearest Neighbor (K-NN) classifiers are used for comparison. According to the comparative results, ELMs produce a good human action recognition performance. |
| نوع الوثيقة: |
other/unknown material |
| اللغة: |
English |
| العلاقة: |
Measurement; Yavşan, E. ve Uçar, A. (2016). Gesture imitation and recognition using Kinect sensor and extreme learning machines. Measurement, 94(2016), 852-861.; http://hdl.handle.net/11508/8895Test; 94; 2016; 852;861; http://dx.doi.org/10.1016/j.measurement.2016.09.026Test |
| DOI: |
10.1016/j.measurement.2016.09.026 |
| الإتاحة: |
https://doi.org/10.1016/j.measurement.2016.09.026Test
http://hdl.handle.net/11508/8895Test |
| حقوق: |
info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edsbas.80F0740C |
| قاعدة البيانات: |
BASE |
