Robust Webcam-Based Hand Detection for Initialisation of Hand-Gesture Communication

被引：0

作者：

Strutz, Tilo ^{[1
]}

Leipnitz, Alexander ^{[1
]}

Senkel, Bjoern ^{[1
]}

机构：

[1] Leipzig Univ Telecommun HfTL, Inst Commun, Leipzig, Germany

来源：

INTERACTIVE COLLABORATIVE ROBOTICS, ICR 2018 | 2018年 / 11097卷

关键词：

Hand detection; Human-machine interaction; Initialisation of communication; Gesture recognition;

D O I：

10.1007/978-3-319-99582-3_27

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The recognition of hand gestures is still a challenging task in real-life scenarios, especially when the hardware is restricted to a cheap optical camera. The first step in such systems is to find at least one hand that can be tracked in order to identify postures or gestures. We propose a robust and real-time method that is able to reliably detect the hand in various environments to initialize hand-gesture communication. It is based on an innovative combination of different sources of information (colour, motion, trajectory) and a dynamic hand-wave gesture commencing hand tracking and hand gesture recognition.

引用

页码：259 / 269

页数：11

共 50 条

[41] Gesture-based interaction and communication: Automated classification of hand gesture contours
Gupta, L
Ma, S
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2001, 31 (01): : 114 - 120
[42] Usability test with medical personnel of a hand-gesture control techniques for surgical environment
Bautista, Luis
Maradei, Fernanda
Pedraza, Gabriel
[J]. INTERNATIONAL JOURNAL OF INTERACTIVE DESIGN AND MANUFACTURING - IJIDEM, 2020, 14 (03): : 1031 - 1040
[43] Max–min hand cropping method for robust hand region extraction in the image-based hand gesture recognition
Jinwoo Jeong
Yoonhee Jang
[J]. Soft Computing, 2015, 19 : 815 - 818
[44] Cluster labeling and parameter estimation for the automated setup of a hand-gesture recognition system
Wachs, JP
Stern, H
Edan, Y
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2005, 35 (06): : 932 - 944
[45] Deep-Learning for Hand-Gesture Recognition with Simultaneous Thermal and Radar Sensors
Skaria, Sruthy
Huang, Da
Al-Hourani, Akram
Evans, Robin J.
Lech, Margaret
[J]. 2020 IEEE SENSORS, 2020,
[46] Glove-Based Hand Gesture Recognition for Diver Communication
Antillon, Derek W. Orbaugh
Walker, Christopher R.
Rosset, Samuel
Anderson, Iain A.
[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (12) : 9874 - 9886
[47] A Hand Gesture Recognition Based Communication System for Silent Speakers
Sriram, N.
Nithiyanandham, M.
[J]. 2013 INTERNATIONAL CONFERENCE ON HUMAN COMPUTER INTERACTIONS (ICHCI), 2013,
[48] Hand Gesture Interface Based on Improved Adaptive Hand Area Detection and Contour Signature
Gu, Lei
Yuan, Xiaoyang
Ikenaga, Takeshi
[J]. IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS 2012), 2012,
[49] Usability test with medical personnel of a hand-gesture control techniques for surgical environment
Luis Bautista
Fernanda Maradei
Gabriel Pedraza
[J]. International Journal on Interactive Design and Manufacturing (IJIDeM), 2020, 14 : 1031 - 1040
[50] Optimization algorithm of particle filter in 3D hand-gesture tracking
Xu, Ting
Feng, Zhiquan
Yang, Bo
Jiang, Yan
Xu, Tao
[J]. Journal of Information and Computational Science, 2010, 7 (06): : 1381 - 1390

← 1 2 3 4 5 →