Real-time embedded system for gesture recognition

Maret, Yann (University of Calgary Calgary, Alberta, Canada) ; Oberson, Daniel (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland) ; Gavrilova, Marina (University of Calgary Calgary, Alberta, Canada)

Recognition from body movement is a challenging domain of research that lies at an intersection of machine learning, biometric security and cognitive functions domain. It can be highly beneficial for expert systems, lie detectors, border control, medical emergencies, as well as search and rescue operations. This paper describes a first prototype of a real-time system capable of recognizing four gestures that correlate to human emotions based on the arm movements. Features extracted from the 3D skeleton using Kinect v2 sensor are classified using an SVM method. The system is tested in real-time on a Kinect database with the embedded system using an optimized algorithm for skeleton extraction in real-time.


Keywords:
Conference Type:
full paper
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
Institute:
iSIS - Institut des systèmes intelligents et sécurisés
Subject(s):
Ingénierie
Publisher:
Miyazaki, Japan, 7-10 October 2018
Date:
2018-10
Miyazaki, Japan
7-10 October 2018
Pagination:
5 p.
Published in:
Proceedings of IEEE SMC 2018 : IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, 7-10 october 2018
External resources:
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 Record created 2018-10-02, last modified 2018-12-20

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