The recent technological
advances in vision based sensors are competent enough to capture the finger
positions and movements. It allows computerized systems to capture air writing.
This is a popular research area which combines both the fields of human
computer interaction (HCI) and machine learning.
Virtual Valipilla focuses on writing a single symbol and recognizing it.
Virtual Valipilla included a virtual mouse, 2D virtual writing interface, commanding with static hand gestures and furthermore gesture written character recognition with a new type of user input called point cloud.
‘$P point cloud recognition framework’ is a template matcher which finds the point per point correspondence and uses simple geometric principles for matching. It is invariant to scale, number of strokes, stroke direction, stroke order and stroke type.
Virtual Valipilla obtained the support of Leap Motion controller which is a low cost consumer vision sensor device ($ 99.99 -> Rs. 15,000.00) for hand and finger type motion gestures.
Virtual Valipilla focuses on writing a single symbol and recognizing it.
Virtual Valipilla included a virtual mouse, 2D virtual writing interface, commanding with static hand gestures and furthermore gesture written character recognition with a new type of user input called point cloud.
‘$P point cloud recognition framework’ is a template matcher which finds the point per point correspondence and uses simple geometric principles for matching. It is invariant to scale, number of strokes, stroke direction, stroke order and stroke type.
Virtual Valipilla obtained the support of Leap Motion controller which is a low cost consumer vision sensor device ($ 99.99 -> Rs. 15,000.00) for hand and finger type motion gestures.
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