Interactive Electric Guitar Lesson System Based on Real Time Wrist Motion Analysis

A wireless inertial motion-sensing device worn on the player’s dominant hand has been investigated to achieve an interactive electric guitar lesson system. An efficient calculation algorithm for detecting both strumming and single-note picking activity enabled real-time visual feedback for a wide range of guitar players including beginners. The proposed lesson system can be used in various guitar lesson situations because it does not use conventional video and audio recording devices, which would require time-consuming preparation or environmental constraints. A visual feedback screen on a PC gave information on the accuracy of rhythm, sharpness, strength, and playing posture. In a guitar lesson with the proposed system, a beginner and an intermediate-level student showed clear progress, especially in picking strength and sharpness in a short time.

Authors

Institutions

Publication Details

Published
2025-04-28
DOI
https://doi.org/10.1109/icct-europe63283.2025.11157689
Citations
1
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
2.48
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interactive Electric Guitar Lesson System Based on Real Time Wrist Motion Analysis

Soichiro Matsushita, Ayaka Takamoto
1 citations
Educational Technology and Pedagogy
2.48
article

Interactive Electric Guitar Lesson System Based on Real Time Wrist Motion Analysis

Soichiro Matsushita, Ayaka Takamoto
article en
1 citations

Abstract

A wireless inertial motion-sensing device worn on the player’s dominant hand has been investigated to achieve an interactive electric guitar lesson system. An efficient calculation algorithm for detecting both strumming and single-note picking activity enabled real-time visual feedback for a wide range of guitar players including beginners. The proposed lesson system can be used in various guitar lesson situations because it does not use conventional video and audio recording devices, which would require time-consuming preparation or environmental constraints. A visual feedback screen on a PC gave information on the accuracy of rhythm, sharpness, strength, and playing posture. In a guitar lesson with the proposed system, a beginner and an intermediate-level student showed clear progress, especially in picking strength and sharpness in a short time.

Tokyo University of Technology (JP)
Openalex Percentile: Top 9%
Educational Technology and Pedagogy
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.