Let’s Frets! Assisting Guitar Students During Practice via Capacitive Sensing

Marky, Karola; Weiß, Andreas; Matviienko, Andrii; Brandherm, Florian; Wolf, Sebastian; Schmitz, Martin; Krell, Florian; Müller, Florian; Mühlhäuser, Max; Kosch, Thomas

doi:10.1145/3411764.3445595

Cited by 23 publications

(15 citation statements)

References 33 publications

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“…Let's frets! [14] uses LEDs and touch sensors on the fretboard to display and check exercises. Other approaches [10,28] use sensor measurements in order to adapt the tempo or difficulty of exercises, or to allow users to control effects [9].…”

Section: Related Workmentioning

confidence: 99%

Immersive Visual Analysis of Cello Bow Movements

Heyen¹,

Kohler²,

Triebener³

et al. 2022

Preprint

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Section: Related Workmentioning

confidence: 99%

Immersive Visual Analysis of Cello Bow Movements

Heyen¹,

Kohler²,

Triebener³

et al. 2022

Preprint

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“…New piano interfaces seek to speed learning and reduce the cognitive load demanded by practice. Visual cues, such as light-up keys, new piano notations [12] and finger position tracking [8] have enabled such advances in active learning.…”

Section: Related Workmentioning

confidence: 99%

Passive Haptic Rehearsal for Accelerated Piano Skill Acquisition

Gemicioglu¹,

Teuscher²,

Dwivedi³

et al. 2022

Preprint

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“…Marky et al [43] created a system that can act as an assisting tool for guitarists. The system uses capacitive sensing to capture the finger motion on a 3D-printed guitar fretboard.…”

Section: Othermentioning

confidence: 99%

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

Emad

Sobeah

Hassan

et al. 2022

Journal of Computing and Communication

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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.

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Let’s Frets! Assisting Guitar Students During Practice via Capacitive Sensing

Abstract: Figure 1: We present Let's Frets, a modular guitar learning concept with three feedback modules: (1) visual indicators, (2) finger position capturing, and (3) a combination of both modules.

Cited by 23 publications

References 33 publications

Immersive Visual Analysis of Cello Bow Movements

Immersive Visual Analysis of Cello Bow Movements

Passive Haptic Rehearsal for Accelerated Piano Skill Acquisition

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

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