Abstract
This study focuses on the C chord, widely used across various genres, and proposes a method to
provide real-time feedback to performers on whether they are striking each string correctly. Compared to
existing chord recognition applications, it demonstrates the capability for more detailed and highly accurate
chord recognition. Furthermore, considering practicality, the support system employs ARDUINO for
implementation, enabling low-cost realisation without requiring expensive equipment. This paves the way for
future expansion, potentially incorporating wearable devices such as pressure sensors to measure acoustic
changes due to variations in finger pressure, thereby encompassing biomedical perspectives.
