| The guitar,as a widely popular musical instrument,has a broad range of applications in music.It also plays a crucial role in daily entertainment.Learning the guitar can not only help improve people’s music literacy but also allow them to enjoy the pleasure and happiness brought by music.However,due to the steep learning curve,the need for precise finger coordination,and the tedious practice process,learning the guitar is a relatively complex and time-consuming process that requires a lot of patience and time.With the advancement of technology and the arrival of the digital age,various guitar practice tools have been developed,such as guitar simulators,teaching apps,and guitar fretboard projectors.However,these auxiliary tools often have limited functions,poor interactivity,and may have recognition delays.In addition,these practice tools require an external power supply,which can be inconvenient for users.Therefore,to overcome these challenges,this thesis proposes a new self-powered visualization practice system for guitar learning based on a composite T-Zn O/PVDF piezoelectric film.The specific research work is as follows:The system mainly consists of four parts: a flexible piezoelectric sensor for pressure sensing,a signal processing module for analyzing the sensed signal,light-emitting diode(LED)indicators for visualizing guitar performance,and a microcontroller for controlling its operation.Based on the excellent piezoelectric material T-Zn O/PVDF and the structure of the guitar,this thesis designed and manufactured a piezoelectric sensor that can adapt to the guitar fretboard.The sensor can convert the mechanical energy generated by pressing the strings with the fingers into a piezoelectric signal without any external power supply.The output voltage of the sensor can serve as the induction signal for guitar playing,with a piezoelectric magnitude of about 0.5 V,which can well characterize the guitar playing technique,and the signal response and recovery time are short.When the fingers press on different strings,a series of piezoelectric signals are generated and transmitted to the signal processing module.These analog signals are collected,amplified,biased,and filtered before being loaded into an analog-to-digital converter(ADC).The microcontroller receives the digital signal from the ADC and controls the LED to light up in different colors,visualizing the movement of the fingers during guitar playing.The system can help players adjust their movements and rhythm in real-time,improving their playing techniques.This study demonstrates the potential application of self-powered sensing systems in guitar practice and expands the application scenarios of flexible piezoelectric sensors. |