Takanori Oku

Advances in IT technology has made it easy for anyone in the modern society to enjoy listening to music. At the same time, performing music is still not easy to learn. One possible reason behind this is the lack of data on the essences of musical skill, which prevents establishing effective methods of communicating these essences to learners. Advancement in sensing technologies, such as motion capture, are unravelling the essences of skill in sports and traditional craftsmanship with more accuracy, 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?Taking advantage of my background in robotics, I am developing various hardware/software systems that measure bodily movements and extract the essences of skilled musical performance, transforming them into visible and tangible technology. My goal is to help people acquire various skills of musical performance through technology.

[keywords] Music Performance Science / Cooperation among Medical Science, Engineering, and Art / Biomechanics and Motor Control / Quantitative Assessment of Human Movements / Technology / Robotics




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). 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. He worked as a postdoctoral associate at Hannover University of Music, Drama, and Media since September 2021. He joined Sony CSL again as a full-time researcher in November 2023. 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.