In this paper, for any gesture recognition framework to work dictionary of gesture is to be made. The dictionary can be divided scale viz. , small scale gesture and large scale gesture. Here need to make use of sensor to recognize the gesture on the basis of assembled dictionary. The analog data from the sensor is provided to the microcontroller to be processed. The processed data is then transferred to the mobile device through the Bluetooth module. The gesture recognising sensor is connected to the microcontroller through one Bluetooth module and the microcontroller and mobile device is connected to the other Bluetooth module. Making use of the gesture recognition framework mobile device can make a call, receive a call, send a text message and receive and send a text mail. The recognition of the gesture is done in three axial (x, y, z) manner. For sensing, two potential technology are used which are surface Electromyography (SEMG) and Accelerometer sensor. In this paper, proposed a three axis accelerometer are being increasingly embedded into many personal electronic devices like the Apple i-phone, Apple i-pod touch, Apple i-pad and Lenovo laptop. In this paper a survey of recent hand gesture recognition framework is presented.

1. Kawade Sonam P and V. S. Ubale, "Gesture Recognition-A Review," IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) Second International Conference on Emerging Trends in Engineering (SICETE), Page No. 19-26.
2. Sushmita Mitra and Tinku Acharya, "Gesture Recognition: A Survey," IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, VOL. 37, NO. 3, MAY 2007, Page No. 311-317.
3. Vladimir I. Pavlovic, Rajeev Sharma and Thomas S. Huang, "Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review," IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 19, NO. 7, JULY 1997, Page No. 677-682.
4. Ms. Sweta A. Raut and Prof. Nitin J. Janwe, "A Review of Gesture Recognition Using Image Object Comparison and Neural Network", International Journal of Computer Technology and Electronics Engineering (IJCTEE) National Conference on Emerging Trends inComputer Science and Information Technology (NCETSIT-2011), Page No. 57-58.
5. Rafiqul Zaman Khan and Noor Adnan Ibraheem "Hand Gesture Recognition: A Literature Review," International Journal of Artificial Intelligence & Applications (IJAIA), Vol. 3, No. 4, Page No. 161-174 July 2012.
6. Xingyan Li. (2003). "Gesture Recognition Based on Fuzzy C-Means Clustering Algorithm," Department of Computer Science. The University of Tennessee Knoxville.
7. S. Mitra, and T. Acharya. (2007). "Gesture Recognition: A Survey," IEEE Transactions on Systems, Man and Cybernetics, Part C: Application and reviews, vol. 37 No. 3, pp. 311- 324, doi:10. 1109/TSMCC. 2007. 893280.
8. Joseph J. LaViola Jr. , (1999). "A Survey of Hand Posture and Gesture Recognition Techniques and Technology", Master Thesis, Science and Technology Center for Computer Graphics and Scientific Visualization, USA.
9. Rafiqul Z. Khan, Noor A. Ibraheem, (2012). "Survey on Gesture Recognition for Hand Image Postures", International Journal of Computer And Information Science, Vol. 5, No. 3, Doi:10. 5539/cis. v5n3p110
10. Thomas B. Moeslund and Erik Granum, (2001). "A Survey of Computer Vision-Based Human Motion Capture," Elsevier, Computer Vision and Image Understanding, Vol. 81, Page No. 231–268.
11. Arpita Ray Sarkar, G. Sanyal and S. Majumder "Hand Gesture Recognition Systems: A Survey," International Journal of Computer Applications, Volume 71– No. 15, Page No. 27-37, May 2013.
12. Zhiyuan Lu, Xiang Chen, Qiang Li, Xu Zhang, and Ping Zhou, "A Hand Gesture Recognition Framework and Wearable Gesture-Based Interaction Prototype for Mobile Devices," IEEE Transactions on Human-Machine Systems, VOL. 44, NO. 2, Page No. 293-299, APRIL 2014.
13. Wu, Y. and Huang, T. S. (1999) Vision-Based Gesture Recognition: A Review. Int. Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction. Springer Lecture Notes in Computer Science.
14. Pavlovic, V. I. , Sharma, R. and Huang, T. S. "Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review," IEEE Transactions on Pattern Analysis And Machine Intelligence, Vol. 19, No. 7, (1997) Page No, 677–695.
15. Murthy, G. R. S. and Jadon, R. S, "A Review of Vision Based Hand Gestures Recognition," Int. J. of Information Technology and Knowledge Management, Vol. 2 No. 2 (2009),Page No. 405 – 410.
16. Lalit Gupta and Suwei Ma, "Gesture-Based Interaction and Communication: Automated Classification of Hand Gesture Contours," IEEE Transactions On Systems, Man, And Cybernetics—Part C: Applications And Reviews, Vol. 31, No. 1, Page No. 114-120, February 2001.
17. L. Hargrove, K. Englehart, and B. Hudgins, "A Comparison of Surface and Intramuscular Myoelectric Signal Classification," IEEE Trans. Biomed. Eng. Vol. 54, (2007), Page No. 847.

Hand Gesture Human Computer Interaction (hci) Segmentation Feature Extraction Accelerometer Sensor Surface Electromyography Sensor.