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255009

Note Frequency Recognition and Finger Motion Capture of a Guitarist: A Survey and Challenges Ahead

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Last updated: 24 Dec 2024

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Abstract

One of the main issues that face new guitar aspirants is that there is a lot of further information, which proves a lot to take in for just a beginner as it causes much-disliked confusion. Students also face problems with their left-hand motion and correct pitch frequency. Researchers have tackled this problem in many ways and have mainly landed on using two approaches. The first was Finger Motion Capture, where previous research specialized in analyzing images and videos of the guitarist. The second was Note Frequency Recognition, where the research's primary purpose was to examine the sound and audio recorded by the guitarist. This paper surveys all the approaches taken to solve this problem, discussing them in detail and exploring the challenges faced with each approach. Furthermore, this paper proposes a hybrid solution that includes both Note Frequency Recognition and Finger Motion Capture to make a full assessment and give feedback on a guitarist's performance.

DOI

10.21608/jocc.2022.255009

Keywords

Frequency Recognition, Finger Motion, Guitarist, Machine Learning

Authors

First Name

John

Last Name

Emad

MiddleName

-

Affiliation

Faculty of Computer Science, Misr International University,Egypt

Email

john1810636@miuegypt.edu.eg

City

-

Orcid

-

First Name

Hager

Last Name

Sobeah

MiddleName

-

Affiliation

Faculty of Computer Science, Misr International University,Egypt

Email

hager.sobeah@miuegypt.edu.eg

City

-

Orcid

-

First Name

walaa

Last Name

hassan

MiddleName

-

Affiliation

Faculty of Computer Science, Misr International University,Egypt

Email

walaa.hassan@miuegypt.edu.eg

City

-

Orcid

0000-0003-0142-0632

First Name

Ahmed

Last Name

Serag

MiddleName

-

Affiliation

Faculty of Computer Science, Misr International University,Egypt

Email

ahmed1801447@miuegypt.edu.eg

City

cairo

Orcid

0000-0001-7485-4568

First Name

Ahmed

Last Name

Yehia

MiddleName

-

Affiliation

Faculty of Computer Science, Misr International University,Egypt

Email

ahmed1810669@miuegypt.edu.eg

City

-

Orcid

-

First Name

Karim

Last Name

Khaled

MiddleName

-

Affiliation

Faculty of Computer Science, Misr International University,Egypt

Email

karimkhaled1808470@miuegypt.edu.eg

City

-

Orcid

-

First Name

Karim

Last Name

Mohamed

MiddleName

-

Affiliation

Faculty of Computer Science, Misr International University,Egypt

Email

karim1809252@miuegypt.edu.eg

City

-

Orcid

-

Volume

1

Article Issue

2

Related Issue

36206

Issue Date

2022-08-01

Receive Date

2022-06-03

Publish Date

2022-08-16

Page Start

69

Page End

79

Online ISSN

2636-3577

Article File

JOCC_Volume 1_Issue 2_Pages 69-79.pdf

PDF . 648.8kB

Link

https://jocc.journals.ekb.eg/article_255009.html

Detail API

https://jocc.journals.ekb.eg/service?article_code=255009

Order

6

Type

Original Article

Type Code

731

Publication Type

Journal

Publication Title

Journal of Computing and Communication

Publication Link

https://jocc.journals.ekb.eg/

MainTitle

Note Frequency Recognition and Finger Motion Capture of a Guitarist: A Survey and Challenges Ahead

Details

Type

Article

Created At

22 Jan 2023