Takanori Oku

Advances in IT make it easy for anyone in modern society to enjoy listening to music. But it is still not easy for anyone to play music. One possible reason behind it is a lack of data on the essences of musical skill, which prevents establishing effective methods of transferring these essences to learners. Modern sensing technologies such as a motion capture system have successfully captured the essences of skill in sports and traditional craftsmanship more accurately, but there are still many uncovered features underlying musical expertise. How do skilled musicians play a very fast passage? How do they precisely control multifaceted features of each note? I am developing various hardware/software systems that measures bodily movements, extracts the essences of skilled musical performance, and transforms them into visible and tangible one, which takes advantage of my robotic background and expertise. My goal is to use the technology for helping people acquire various skills of musical performance.

 

[keywords] music performance science / cooperation among medical science, engineering, and art / biomechanics and motor control / quantitative assessment of human movements / technology / robotics

 

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Takanori Oku graduated from Osaka University's School of Engineering Science (2012) and received a PhD from Osaka University's Graduate School of Engineering Science (2016). His doctoral research included visualization of human motor commands, and implementation of human neuro-muscular control into a pneumatic musculoskeletal robot. In 2016, he began a postdoctoral associate at Sophia University's Musical Skill and Injury Center (MuSIC). He joined Sony CSL as a JST CREST researcher in April 2018 and started to work as a full-time researcher in September of the same year. Currently researching: movement disorders of musicians, mechanisms of the nervous system underlying skilled musical performance, visualization of musical skill, and computer systems to support musical mastery.

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