In this sense, one of the main research topics that is gained importance and visibility is Monitoring. The technological advances have enabled the development of many arenas. Preliminary results show that our method can recognize most of the beginner’s piano-playing gestures in realtime for soothing rhythms. Using our prototype system, users can put their hands on a desk, move them sideways and then tap fingers on the desk, like playing a real piano. In contrast to the existing hand tracking algorithms that often require hands are in the air and cannot interact with physical objects, our method is designed for hand interaction with planar objects, which is desired for the virtual piano application. Finally, we build a kinematic chain and recover the articulation parameters for each finger. Then we use the trained random forest to estimate the 3D position of fingertips and wrist in each frame, and predict finger tapping based on the estimated fingertip motion. In the online tracking stage, we firstly segment the hand from the plane in contact by fusing the information from both color and depth images. We collect 7200 depth images covering the most common finger articulation for playing piano, and train a random regression forest using depth context features of randomly sampled pixels in training images. This paper presents an efficient data-driven approach to track fingertip and detect finger tapping for virtual piano using an RGB-D camera. The environment can also be used as an administrative tool or knowledge base with lessons, songs or other information needed for piano playing. Using this system an artificial piano teacher can be developed further to give the environment more educational value and to aid a real piano teacher with his lessons. Multiple agents were made, each with its own independent functionality within the multi-agent platform. Multiple users can play together on the virtual piano in this 3D environment from different locations. A 3D-piano with visualisation of notes was built in a virtual environment and connected with a real synthesizer using Midi to interact with a user. Abstract In this paper the framework for a multimedia platform called ADRI is described which aids in playing the piano.
In this paper the framework for a multimedia platform called ADRI is described which aids in playing the piano.
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