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author:

Yi, Jin (Yi, Jin.) [1] | Chen, Kang (Chen, Kang.) [2] (Scholars:陈康) | Wang, Jun (Wang, Jun.) [3] (Scholars:王俊) | Ou, Mingmin (Ou, Mingmin.) [4] | Wu, Yi (Wu, Yi.) [5]

Indexed by:

EI Scopus

Abstract:

A real-time mouse cursor control system using static gestures was designed to achieve the goal of human-computer interaction (HCI) in this paper. The system uses the computer's own camera or external USB camera to collect video data, detect and recognize gestures of people in the video, and control the cursor movement or click in real time based on the gesture. To improve the recognition accuracy of hand gesture images detection, a method of hand gesture images detection based on PHOG + Improved LBP + K-NN was proposed in this paper. In order to improve the real-time performance of the system, the system determines whether the current frame has human hands by skin color detection. When human hands are detected, Pyramid Histogram of Oriented Gradients (PHOG) features and the improved Local Binary Pattern (LBP) features are further extracted. After fusing PHOG features and improved LBP features, k-nearest neighbor classification (K-NN) is used to implement gesture recognition. Six different gestures were tested 50 times with different angles, different lights and no skin tone in the background. The experimental results show that the system has good recognition performance. © Published under licence by IOP Publishing Ltd.

Keyword:

Artificial intelligence Cameras Computer control systems Gesture recognition Human computer interaction Image enhancement Mammals Nearest neighbor search Palmprint recognition

Community:

  • [ 1 ] [Yi, Jin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Chen, Kang]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Wang, Jun]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Ou, Mingmin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Wu, Yi]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

Reprint 's Address:

  • 易金

    [yi, jin]college of electrical engineering and automation, fuzhou university, fuzhou; 350108, china

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Source :

ISSN: 1742-6588

Year: 2020

Issue: 1

Volume: 1576

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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