Towards Developing an Effective Hand Gesture Recognition System for Human Computer Interaction: A Literature Survey

Towards Developing an Effective Hand Gesture Recognition System for Human Computer Interaction: A Literature Survey

Santosh Choudhary

Contact

Dr. Naveen Choudhary

Contact

Maharana Pratap University of Agriculture and Technology

Towards Developing an Effective Hand Gesture Recognition System for Human Computer Interaction: A Literature Survey

Article Fingerprint

ReserarchID

CSTGVM6QN4

Towards Developing an Effective Hand Gesture Recognition System for Human Computer Interaction: A Literature Survey Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

Gesture recognition is a mathematical analysis of movement of body parts (hand / face) done with the help of computing device. It helps computers to understand human body language and build a more powerful link between humans and machines. Many research works are developed in the field of hand gesture recognition. Each works have achieved different recognition accuracies with different hand gesture datasets, however most of the firms are having insufficient insight to develop necessary achievements to meet their development in real time datasets. Under such circumstances, it is very essential to have a complete knowledge of recognition methods of hand gesture recognition, its strength and weakness and the development criteria as well. Lots of reports declare its work to be better but a complete relative analysis is lacking in these works.

References

49 Cites in Article

Reference Format

Rafiqul Zaman Khan,Noor,Adnan Ibraheem (2012). Hand Gesture Recognition: A Literature Review.
Yanmin Zhu,Zhibo Yang,Bo Yuan (2013). Vision Based Hand Gesture Recognition.
Huaiyu Xu,Xiaoyu Hou,Ruidan Su,Qing Ni (2009). Real-Time Hand Gesture Recognition System Based on Associative Processors.
Dharani Mazumdar,Anjan Kumar Talukdar,Kandarpa Sarma (2013). A Colored Finger Tip-Based Tracking Method For Continuous Hand Gesture Recognition.
Liu Yun,Zhang Peng (2009). An Automatic Hand Gesture Recognition System Based on Viola-Jones Method and SVMs.
Zhong Yang,Yi Li,Weidong Chen,Yang Zheng (2012). Dynamic Hand Gesture Recognition Using Hidden Markov Models.
Dipak Kumar,Ghosh,Samit Ari (2011). A Static Hand Gesture Recognition Algorithm Using K-Mean Based Radial Basis Function Neural Network.
Lingchen Chen,Feng Wang,Hui Deng,Kaifan Ji (2013). A Survey on Hand Gesture Recognition.
Amita Kamal K Vyas,Pareek,Tiwari (2013). Gesture Recognition and Control Part 2-Hand Gesture Recognition (HGR) System & Latest Upcoming Techniques.
N Deepali,Chitode Kakade (2012). Dynamic Hand Gesture Recognition: A Literature Review.
Emma Fahlman,Thomas Mejtoft,Helen Cripps (2011). Evaluation of Push Notifications for Social Media Applications.
Priya Gairola,Sanjay Kumar (2014). Hand Gesture Recognition From Video.
Vishal Nayakwadi,N Pokale (2013). Natural Hand Gestures Recognition System for Intelligent HCI: A Survey.
Chung-Lin Huang,Sheng-Hung Jeng (2001). A modelbased hand gesture recognition system.
Jung Ho-Sub Yoon,Younglae Soh,Hyun Bae,Yang Seung (2001). Hand gesture recognition using combined features of location, angle and velocity.
Feng-Sheng Chen,Chih-Ming Fu,Chung-Lin Huang (2003). Hand gesture recognition using a real-time tracking method and hidden Markov models.
Ma Gengyu,Lin Xueyin (2003). Canonical sequence extraction and HMM model building based on hierarchical clustering.
Aditya Rama Moorthy,Namrata Vaswani,Santanu Chaudhury,Subhashis Banerjee (2003). Recognition of dynamic hand gestures.
Minh Anh,T Ho,Yoji Yamada,Yoji Umetani (2005). An Adaptive Visual Attentive Tracker for Human Communicational Behaviors Using HMM-Based TD Learning With New State Distinction Capability.
Agnes Just,Sebastien Marcel (2009). A comparative study of two state-of-the-art sequence processing techniques for hand gesture recognition.
Chun Zhu,Weihua Sheng (2011). Wearable Sensor-Based Hand Gesture and Daily Activity Recognition for Robot-Assisted Living.
Xu Zhang,Xiang Chen,Yun Li,Vuokko Lantz,Kongqiao Wang,Jihai Yang (2011). A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors.
Ming-Hsuan Yang,Narendra Ahuja,Mark Tabb (2002). Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition.
Chia-Feng Juang,Ksuan-Chun Ku (2005). A Recurrent Fuzzy Network for Fuzzy Temporal Sequence Processing and Gesture Recognition.
S Ge,Y Yang,T Lee (2008). Hand gesture recognition and tracking based on distributed locally linear embedding.
Papamarkos Stergiopoulou (2009). Hand gesture recognition using a neural network shape fitting technique.
Heung-Il Suk,Bong-Kee Sin,Seong-Whan Lee (2010). Hand gesture recognition based on dynamic Bayesian network framework.
Jawad Nagi,Frederick Ducatelle,Gianni Caro,Dan Ciresan,Ueli Meier,Alessandro Giusti,Farrukh Nagi,Jurgen Schmidhuber,Maria Luca,Gambardella (2011). Max-Pooling Convolutional Neural Networks for Vision-based Hand Gesture Recognition.
Wensheng Li,Chunjian Deng (2012). Fast and Robust Method for Dynamic Gesture Recognition Using Hermite Neural Network.
Trong-Nguyen Nguyen,Huu-Hung Huynh,Jean Meunier (2013). Static Hand Gesture Recognition Using Artificial Neural Network.
Ao Tang,Ke Lu,Yufei Wang,Jie Huang,Houqiang Li (2013). A Real-time Hand Posture Recognition System Using Deep Neural Networks.
V Neha,Deorankar ; Daniel Tavari,John Kelly,Donald Mc,Charles Markham (2011). Weakly Supervised Training of a Sign Language Recognition System Using Multiple Instance Learning Density Matrices.
H Nasser,Mohammad Dardas,Alhaj (2011). Hand Gesture Interaction with a 3D Virtual Environment.
Aseema Sultana,Raja Puspha (2012). Vision Based Gesture Recognition for Alphabetical Hand Gestures Using the SVM Classifier.
Mu-Chun Su (2000). A Fuzzy Rule-Based Approach to Spatio-Temporal Hand Gesture Recognition.
Juan Wachs,Helman Stern,Yael Edan (2005). Cluster Labeling and Parameter Estimation for the Automated Setup of a Hand-Gesture Recognition System.
Qing Chen,Nicolas Georganas,Emil Petriu (2008). Hand Gesture Recognition Using Haar-Like Features and a Stochastic Context-Free Grammar.
George Caridakis,Kostas Karpouzis,Athanasios Drosopoulos,Stefanos Kollias (2010). SOMM: Self organizing Markov map for gesture recognition.
Deng-Yuan,Wu-Chih Huang,Sung-Hsiang Hub,Chang (2011). Gabor filter-based hand-pose angle estimation for hand gesture recognition under varying illumination.
Shengli Ruizexu,Wen Zhou,Li (2012). MEMS Accelerometer Based Nonspecific-User Hand Gesture Recognition.
Luigi Lamberti,Francesco Camastra (2012). Handy: A real-time three color glove-based gesture recognizer with learning vector quantization.
Jafreezal Shikha Guptaa,Wan Jaafar,Wan Fatimah,Ahmad (2012). Static Hand Gesture Recognition Using Local Gabor Filter.
Junsong Zhou Ren,Jingjing Yuan,Zhengyou Meng,Zhang (2013). Robust Part-Based Hand Gesture Recognition Using Kinect Sensor.
Yuan Yao,Yun Fu (2014). Contour Model-Based Hand-Gesture Recognition Using the Kinect Sensor.
Wei Shiguo Lian,Kai Hu,Wang (2014). Automatic User State Recognition for Hand Gesture Based Low-Cost Television Control System.
Kui Liu,Chen Chen,Roozbeh Jafari,Nasser Kehtarnavaz (2014). Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition.
Eshed Ohn,-Barand Mohan,Manubhai Trivedi (2014). Hand Gesture Recognition in Real Time for Automotive Interfaces: A Multimodal Vision-Based Approach and Evaluations.
Zhiyuan Lu,Xiang Chen,Qiang Li,Xu Zhang,Ping Zhou (2014). A Hand Gesture Recognition Framework and Wearable Gesture-Based Interaction Prototype for Mobile Devices.
Chong Wang,Zhong Liu,Shing-Chow Chan (2015). Superpixel-Based Hand Gesture Recognition with Kinect Depth Camera.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Santosh Choudhary. 2016. \u201cTowards Developing an Effective Hand Gesture Recognition System for Human Computer Interaction: A Literature Survey\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 16 (GJCST Volume 16 Issue F2).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 16 Issue F2

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-F Classification I.4.8

I.7.5

I.5.1

J.5

Submission ReceivedDecember 8, 2015
Peer Review Double Blind
Handling Editor
Accepted January 2, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

September 20, 2016

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Santosh Choudhary, Dr. Naveen Choudhary (PhD/Dr. count: 1)

View Count (all-time): 289

Total Views (Real + Logic): 7379

Total Downloads (simulated): 1952

Publish Date: 2016 09, Tue

Monthly Totals (Real + Logic):

Month 1: 52 views
Month 2: 43 views
Month 3: 52 views
Month 4: 39 views
Month 5: 56 views
Month 6: 46 views
Month 7: 33 views
Month 8: 37 views
Month 9: 56 views
Month 10: 32 views
Month 11: 40 views
Month 12: 28 views
Month 13: 30 views
Month 14: 44 views
Month 15: 29 views
Month 16: 28 views
Month 17: 17 views
Month 18: 22 views
Month 19: 39 views
Month 20: 47 views
Month 21: 27 views
Month 22: 27 views
Month 23: 38 views
Month 24: 42 views
Month 25: 34 views
Month 26: 32 views
Month 27: 45 views
Month 28: 22 views
Month 29: 31 views
Month 30: 39 views
Month 31: 46 views
Month 32: 28 views
Month 33: 21 views
Month 34: 29 views
Month 35: 27 views
Month 36: 15 views
Month 37: 30 views
Month 38: 18 views
Month 39: 28 views
Month 40: 35 views
Month 41: 33 views
Month 42: 25 views
Month 43: 42 views
Month 44: 20 views
Month 45: 31 views
Month 46: 29 views
Month 47: 28 views
Month 48: 14 views
Month 49: 42 views
Month 50: 27 views
Month 51: 19 views
Month 52: 17 views
Month 53: 31 views
Month 54: 37 views
Month 55: 36 views
Month 56: 19 views
Month 57: 37 views
Month 58: 33 views
Month 59: 34 views
Month 60: 43 views
Month 61: 38 views
Month 62: 29 views
Month 63: 38 views
Month 64: 35 views
Month 65: 25 views
Month 66: 17 views
Month 67: 28 views
Month 68: 22 views
Month 69: 21 views
Month 70: 35 views
Month 71: 36 views
Month 72: 32 views
Month 73: 28 views
Month 74: 48 views
Month 75: 26 views
Month 76: 12 views
Month 77: 30 views
Month 78: 24 views
Month 79: 42 views
Month 80: 27 views
Month 81: 37 views
Month 82: 38 views
Month 83: 36 views
Month 84: 19 views
Month 85: 28 views
Month 86: 11 views
Month 87: 33 views
Month 88: 33 views
Month 89: 27 views
Month 90: 34 views
Month 91: 43 views
Month 92: 17 views
Month 93: 20 views
Month 94: 23 views
Month 95: 28 views
Month 96: 21 views
Month 97: 39 views
Month 98: 18 views
Month 99: 23 views
Month 100: 28 views
Month 101: 30 views
Month 102: 35 views
Month 103: 44 views
Month 104: 36 views
Month 105: 28 views
Month 106: 30 views
Month 107: 28 views
Month 108: 34 views
Month 109: 21 views
Month 110: 45 views
Month 111: 29 views
Month 112: 37 views
Month 113: 43 views
Month 114: 79 views
Month 115: 92 views
Month 116: 46 views

Total Views: 7379

Total Downloads: 1952

2026 Trends

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]