Adaptive Hand Gesture Recognition System for Multiple Applications

With the increasing role of computing devices facilitating natural human computer interaction (HCI) will have a positive impact on their usage and acceptance as a whole. Techniques such as vision, sound, speech recognition allow for a much richer form of interaction between the user and machine. The emphasis is to provide a natural form of interface for interaction. As gesture commands are found to be natural for humans, the development of the gesture based system interface have become an important research area. One of the drawbacks of present gesture recognition systems is application dependent which makes it difficult to transfer one gesture control interface into multiple applications. This paper focuses on designing a hand gesture recognition system which is adaptable to multiple applications thus making the gesture recognition systems to be application adaptive. The designed system is comprised of the different processing steps like detection, segmentation, tracking, recognition etc. For making system application-adaptive different quantitative and qualitative parameters have been taken into consideration. The quantitative parameters include gesture recognition rate, features extracted and root mean square error of the system and the qualitative parameters include intuitiveness, accuracy, stress/comfort, computational efficiency, the user’s tolerance, and real-time performance related to the proposed system. These parameters have a vital impact on the performance of the proposed application adaptive hand gesture recognition system.