A. Chaudhary

Jagdish L. Raheja, A. Singhal, A. Chaudhary

These days mobile devices like phones or tablets are very common among people of all age. They are connected with network and provide seamless communications through internet or cellular services. These devices can be a big help for the people who are not able to communicate properly and even in emergency conditions. A disabled person who is not able to speak or a person who speak a different language, these devices can be a boon for them as understanding, translating and speaking systems for these people. This chapter discusses a portable android based hand sign recognition system which can be used by disabled people. This chapter shows a part of on-going project. Computer Vision based techniques were used for image analysis and PCA was used after image tokenizer for recognition. This method was tested with webcam results to make system more robust.

A. Chaudhary, B. K. Verma, J. L. Raheja

Products with new features need to be introduced on the market in a rapid pace and organizations need to speed up their development process. The ordinary way to develop products, one at a time, is not time efficient enough and is costly. Reuse has been suggested as a solution, but to achieve effective reuse within an organization a planned and proactive effort must be used. Product lines are the most promising technique and it increases productivity and software quality and decreases time-to-market. This paper describes the architecture of product line engineering process and also addresses what the design issues of product line architecture are and how a UML profile looks like for a product line by referring to the basic aspects of a case study, CelsiusTech in its Naval Product Line, SS2000.

J. L. Raheja, A. Chaudhary, K Singal

Hand Gesture is a popular way to interact or control machines and it has been implemented in many applications. The geometry of hand is such that it is hard to construct in virtual environment and control the joints but the functionality and DOF encourage researchers to make a hand like instrument. This paper presents a novel method for fingertips detection and centres of palms detection distinctly for both hands using MS KINECT in 3D from the input image. KINECT facilitates us by providing the depth information of foreground objects. The hands were segmented using the depth vector and centres of palms were detected using distance transformation on inverse image. This result would be used to feed the inputs to the robotic hands to emulate human hands operation.