Open Access Open Access  Restricted Access Subscription or Fee Access

Hand Posture Recognition for Complex Decision Making

Ayesha Butalia, Dr. Maya Ingale, Swapnil Patil, Manjiri Bangali, Bhushan Dusane


Gesture recognition can be seen as a way for
computers to begin to understand human body language, thus building a richer bridge between machine and humans than primitive text, user interfaces or even GUI’s. Gesture recognition method used in this paper aims on recognizing hand postures as well as facial expressions. Here, facial expressions are used as context for the gesture recognized that helps in giving additional information about
the gestures performed. Thus the information obtained from this static posture defines a particular gesture.
We also have described another method which uses previous
frame as its context and recognize the gesture performed. Many a times, a gesture recognized can have multiple meaning, or its actual
meaning cannot be easily recognized by just extracting features from one frame. So, in such situations we can use previous frame of the
gesture performed and extract its features. The information obtained from these features can then be used to avoid the ambiguity in meaning and the gesture can be recognized accurately. These gestures
then can be used to make some complex decisions, ultimately driving an application.


Grey Scale Manipulation, Smoothing, Edge and Feature Detection, Face and Gesture Recognition.

Full Text:



Elena Sánchez-Nielsen, Luis Antón-Canalís, Mario Hernández-Tejera,

“Hand Gesture Recognition for Human-Machine Interaction”.

Hironori Takimoto, Seiki Yoshimori, Yasue Mitsukura and Minoru

Fukumi, ”Classification of Hand Postures Based on 3D Vision Model

for Human-Robot Interaction”, 19th IEEE International Symposium on

Robot and Human Interactive Communication, Italy. Sept. 12-15, 2010.

P.Pramod Kumar, Prahlad Vadakkepat, and Loh AI POH,”Hand Posture

and face recognition using fuzzy rough approach”, International Journal

of Humanoid Robotics Vol. 7, No. 3 (2010).

B. Stenger P. R. S. Mendonc¸a R. Cipolla, “Model-Based 3D Tracking

of an Articulated Hand” , In proc. British Machine Vision Conference,

Manchester, UK, September 2001.

M. Pantic, L.J.M. Rothkrantz, “Facial gesture Recognition in face image

sequences: A study on facial gestures typical for speech articulation”,

Delft University of Technology.

Bernard Boulay, Francois Bremond, Monique Thonnat, “Human Posture

Recognition in Video Sequence”, INRIA Sophia Antipolis, France.

Balasubramani A, Kalaivanan K, Karpagalakshmi RC, Monikandan R,


International Conference on Computing, Communication and

Networking 2008.

Michael Kipp, Jean-Claude Martin, “Gesture and Emotion: Can basic

gestural form features discriminate emotions?”, Affective Computing

and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd

International Conference on 10-12 Sept. 2009.

Jun Ou, Xiao-Bo Bai, Yun Pei ,Liang Ma, Wei Liu, “Automatic Facial

Expression Recognition Using Gabor Filter And Expression Analysis”,

Second International Conference on Computer Modeling and Simulation

Mr. Chetan A. Burande, Prof. Raju M. Tugnayat, Prof.Dr. Nitin K.

Choudhary, “Advanced Recognition Techniques for Human Computer

Interaction”, Computer and Automation Engineering (ICCAE), 2010

The 2nd International Conference on 26-28 Feb. 2010.

S. Naidoo, C. Omlin and M. Glaser, "Vision-Based Static Hand Gesture

Recognition Using Support Vector Machines", 1998.

Ghosh, Dipak Kumar, “A static hand gesture recognition algorithm

using k-mean based radial basis function neural network”, Information,

Communications and Signal Processing (ICICS) 2011 8th International

Conference on 13-16 Dec. 2011.

Igorevich, R.R.Sch. of Comput. Sci. & Eng., Konkuk Univ., Seoul,

South Korea Pusik Park ; Dugki Min ; Yunjung Park ; Jongchan

Choi ; Eunmi Choi,” Hand gesture recognition algorithm based on

grayscale histogram of the image”, Application of Information and

Communication Technologies (AICT), 2010 4th International

Conference on 12-14 Oct. 2010

Tofighi, G. Univ. of Isfahan, Isfahan, “Rapid hand posture recognition

using Adaptive Histogram Template of Skin and hand edge contour”,

Machine Vision and Image Processing (MVIP), 2010 6th Iranian, 27-28

Oct. 2010.

Yuwen Wu, “Modeling facial expression space for recognition”,

Intelligent Robots and Systems, 2005. (IROS 2005). 2005 IEEE/RSJ

International Conference on 2-6 Aug. 2005

Yu-Li Xue Sch. of Electron. & Inf. Eng., Beihang Univ. Xia Mao ; Fan

Zhang,” Beihang University Facial Expression Database and Multiple

Facial Expression Recognition”, Machine Learning and Cybernetics,

International Conference on 13-16 Aug. 2006.

Aleksic, P.S. Electr. Eng. & Comput. Sci. Dept., Northwestern Univ.,

Evanston, IL, USA Katsaggelos, A.K.,”Automatic facial expression

recognition using facial animation parameters and multistream HMMs”,

Information Forensics and Security, IEEE Transactions on March 2006.

Priya Metri, Jayshree Ghorpade and Ayesha Butalia, “Facial Emotion

Recognition Using Context Based Multimodal Approach”, Int. J. Emerg.

Sci., 2(1), 171-182, March 2012 ISSN: 2222-4254.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.