Real Time Vision Based Fingertip Detection Strategies
Ritty Jacob1, N. Sugitha2

1Ritty Jacob*, Research Scholar, CSE, Noorul Islam Centre for Higher Education, Kumarakovil, India.
2N.Sugitha, Associate Professor, Department of IT, Noorul Islam Centre for Higher Education, Kumarakovil, India.  

Manuscript received on November 12, 2019. | Revised Manuscript received on 23 November, 2019. | Manuscript published on December 10, 2019. | PP: 3532-3536 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6297129219/2019©BEIESP | DOI: 10.35940/ijitee.B6297.129219
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Abstract: The Fingertip Detection acts a specific role in most of the vision based applications. The latest technologies like virtual reality and augmented reality actually follows this fingertip detection concept as its foundation. It is also helpful for Human Computer Interaction (HCI). So fingertip detection and tracking can be applied from games to robot control, from augmented reality to smart homes. The most important interesting field of fingertip detection is the gesture recognition related applications. In the context of interaction with the machines, gestures are the most simplest and efficient means of communication. This paper analyses the various works done in the areas of fingertip detection. A review on various real time fingertip methods is explained with different techniques and tools. Some challenges and research directions are also highlighted. Many researchers uses fingertip detection in HCI systems those have many applications in user identification, smart home etc. A comparison of results by different researchers is also included. 
Keywords: Fingertip Detection, Fingertip Tracking, Hand Gesture Recognition, Human Computer Interaction.
Scope of the Article: Pattern Recognition