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Computer Graphics and Visual Computing
In this paper, an experimental self-teaching system capable of superimposing audio-visual information to support the process of learning to play the guitar is proposed. Different learning scenarios have been carefully designed according to diverse levels of experience and understanding and are presented in a simple way. Learners can select between representative numbers of scenarios and physically interact with the audio-visual information in a natural way. Audio-visual information can bedoi:10.2312/localchapterevents/tpcg/tpcguk05/163-170 dblp:conf/tpcg/Liarokapis05 fatcat:i4w7njwhrvcxflshspkihdbqwa