![ In paper[1] to test and evaluate the system, k-NN and SVM
classifiers with different configurations have been employed.
In paper[2] the research has deal with the sign language
posture and identified the sign and converted that sign into
text.
In paper[3] the gloved hand tracking is compared with free
hand tracking algorithm is not dependent on any background
and lighting conditions.
In paper[4] the low training times and low memory
consumption is given for better accuracy.
17/10/2015 6](https://image.slidesharecdn.com/introseminarkunika-171125120342/85/A-Dynamic-hand-gesture-recognition-for-human-computer-interaction-6-320.jpg)
![ In [1] they require dark background to recognition of hand
posture.
In [2] the recognition of some alphabates out of 26 were able
to convert in text.
In [3] if color of the glove or finger cap is same with body
color then it is hard to track the posture.
This allows to repeat the training procedure of MLRF due to
which different postures merge together and hard to
recognition.
17/10/2015
7](https://image.slidesharecdn.com/introseminarkunika-171125120342/85/A-Dynamic-hand-gesture-recognition-for-human-computer-interaction-7-320.jpg)
A Dynamic hand gesture recognition for human computer interaction
- 1. “Dynamic Hand Gesture Recognition using Human Computer Interaction” Guided By Presented By Prof. Santosh Banoth Kunika S. Barai 17/10/2015 1
- 2. ABSTRACT INTRODUCTION LITERATURE REVIEW PROBLEM DEFINITION EXISTING SYSTEM PROPOSED SCHEME BLOCK DIAGRAM REQUIREMENT ADVANTAGES APPLICATION FUTURE SCOPE REFERENCE 17/10/2015 2
- 3. A sign language recognition system is required to use information from both global features, such as hand movement and location and local features; such as hand shape and orientation. Sign Language is the most natural and expressive way for the hearing impaired. Proper hand segmentation from the background and other body parts of the video is the primary requirement for the design of a hand-gesture based application. These video frames can be captured from a low cost webcam (camera) for use in a vision based gesture recognition technique.HCI can then help to control operation of system. 17/10/2015 3
- 4. The use of hand gestures is a natural way of communication and has lead to many research efforts aiming for the development of intelligent human interaction systems. A lot of work has been done in the field of automation of sign language interpretation to make systems that effectively translate signs i.e. hand gestures into speech or text This system was inspired by the special group of people who have difficulties communicate in verbal form 17/10/2015 4
- 5. 29/10/2014 5
- 6. In paper[1] to test and evaluate the system, k-NN and SVM classifiers with different configurations have been employed. In paper[2] the research has deal with the sign language posture and identified the sign and converted that sign into text. In paper[3] the gloved hand tracking is compared with free hand tracking algorithm is not dependent on any background and lighting conditions. In paper[4] the low training times and low memory consumption is given for better accuracy. 17/10/2015 6
- 7. In [1] they require dark background to recognition of hand posture. In [2] the recognition of some alphabates out of 26 were able to convert in text. In [3] if color of the glove or finger cap is same with body color then it is hard to track the posture. This allows to repeat the training procedure of MLRF due to which different postures merge together and hard to recognition. 17/10/2015 7
- 8. 17/10/2015 8 Our aim is to use the camera which is supposed to be worn by the hearing impaired people. The second functional block and the main block is the personal computer where the complete image processing is carried out. Finally the output served by the computer in the form of recognized gesture is then corresponds to a particular speech track which is played through the speaker.
- 9. 17/10/2015 9
- 10. MATLB A good confriguation of computer system. Low cost web cam include in computer system. 17/10/2015 10
- 11. Non-verbal communication can be used for interaction with computer system. This research will help to develop a system prototype that automatically helps to recognize sign languages of the signer and translate them into voice in real time. 17/10/2015 11
- 12. Real time sign language. Security purpose. For authentication. 17/10/2015 12
- 13. Gesture recognition is new advanced topic used to increase the human computer interaction. We are recognizing the hand postures and performing different operation. In future head moment can also be recognize for interaction. The Gesture Controlled Robot System gives an alternative way of controlling robots, household appliances and electronic devices. 17/10/2015 13
- 14. 1) Ghassem Tofighi, Anastasios N. Venetsanopoulos, Kaamran Raahemifar, Soosan Beheshti, Helia Mohammadi; Hand Posture Recognition Using K- NN and Support Vector Machine Classifiers Evaluated on Our Proposed HandReader Dataset;DSP 2013 IEEE 2) Matheesha Fernando, Janaka Wijayanayaka; Low cost approach for Real Time Sign Language Recognition; 2013 IEEE 8th International Conference on Industrial and Information Systems, ICIIS 2013, Aug. 18-20, 2013, Sri Lanka 3) Dharani Mazumdar , Anjan Kumar Talukdar, Kandarpa Kumar Sarma; Gloved and Free Hand Tracking based Hand Gesture Recognition; ICETACS 2013 4) Alina Kuznetsova, Laura Leal-Taix´e, Bodo Rosenhahn; Real-time sign language recognition using a consumer depth camera;2012 International conference; Coimbatore, India. 5) P Raghu veera Chowdary, Image processing algorithm for gesture recognition using matlab” , 2014 IEEE(ICACCCT) 17/10/2015 14