Multisensory Plucked Instrument Modeling in Unity3D: From Keytar to Accurate String Prototyping
Autor: | Razvan Paisa, Stefania Serafin, Federico Fontana, Roberto Ranon |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Computer science
stringed musical instruments Multisensory feedback Stringed musical instruments 02 engineering and technology Virtual reality multisensory feedback lcsh:Technology 01 natural sciences GeneralLiterature_MISCELLANEOUS lcsh:Chemistry Software Human–computer interaction 0103 physical sciences General Materials Science Set (psychology) lcsh:QH301-705.5 010301 acoustics Instrumentation Musical haptics Haptic technology Fluid Flow and Transfer Processes lcsh:T business.industry Process Chemistry and Technology String (computer science) General Engineering musical haptics 021001 nanoscience & nanotechnology lcsh:QC1-999 Computer Science Applications lcsh:Biology (General) lcsh:QD1-999 lcsh:TA1-2040 Dynamics (music) virtual reality Guitar lcsh:Engineering (General). Civil engineering (General) 0210 nano-technology business Robotic arm lcsh:Physics |
Zdroj: | Applied Sciences Volume 10 Issue 4 Fontana, F, Paisa, R, Ranon, R & Serafin, S 2020, ' Multisensory plucked instrumentmodeling in unity3D : From Keytar to accurate string prototyping ', Applied Sciences (Switzerland), vol. 10, no. 4, 1452 . https://doi.org/10.3390/app10041452 Applied Sciences, Vol 10, Iss 4, p 1452 (2020) |
ISSN: | 2076-3417 |
DOI: | 10.3390/app10041452 |
Popis: | Keytar is a plucked guitar simulation mockup developed with Unity3D that provides auditory, visual, and haptic feedback to the player through a Phantom Omni robotic arm. Starting from a description of the implementation of the virtual instrument, we discuss our ongoing work. The ultimate goal is the creation of a set of software tools available for developing plucked instruments in Unity3D. Using such tools, sonic interaction designers can efficiently simulate plucked string prototypes and realize multisensory interactions with virtual instruments for unprecedented purposes, such as testing innovative plucked string interfaces or training machine learning algorithms with data about the dynamics of the performance, which are immediately accessible from the machine. |
Databáze: | OpenAIRE |
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