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2016 | OriginalPaper | Buchkapitel

System Control Using Real Time Finger Tip Tracking and Contour Detection with Gesture Recognition

verfasst von : Arjunlal, Minu Lalitha Madhavu

Erschienen in: Smart Trends in Information Technology and Computer Communications

Verlag: Springer Nature Singapore

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Abstract

Gestures are very important for the communication between humans. Nowadays new technologies of Human Computer Interaction (HCI) are being developed to convey commands from user’s to computers. Among them, communication though hand gesture is a natural and instinctive way to interact with the computer. Over the years Vision based real time gesture recognition system has witnessed a large growth because of its different beneficial applications, such as sign language to virtual reality and its capability to interact with system efficiently through HCI. In HCI using hand gesture, the main elements are hand gesture recognition and its tracking. At first a brief history of hand gesture recognition is deliberated and the technical challenges during the recognition process also enumerated. The methodologies for hand gesture identification, such as glove-based, vision-based and depth-based, are compared briefly. Bare hand gesture recognition and tracking using CamShift can provide a better Human-Computer Interaction.

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Titel: System Control Using Real Time Finger Tip Tracking and Contour Detection with Gesture Recognition
verfasst von: Arjunlal
Minu Lalitha Madhavu
Verlag: Springer Nature Singapore
Buch: Smart Trends in Information Technology and Computer Communications
Print ISBN: 978-981-10-3432-9

Electronic ISBN: 978-981-10-3433-6

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-981-10-3433-6_103

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