ArticleFrontiers in psychology2021
Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A Controlled, Randomized Trial.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Real-Time Visual Feedback Based on MIMUs Technology Reduces Bowing Errors in Beginner Violin Students.Sensors (Basel, Switzerland) · 2024Article
- Human Action Recognition and Note Recognition: A Deep Learning Approach Using STA-GCN.Sensors (Basel, Switzerland) · 2024Article
- Enhancing human-human musical interaction through kinesthetic haptic feedback using wearable exoskeletons: theoretical foundations, validation scenarios, and limitations.Frontiers in psychology · 2024Article
- The assessment of presence and performance in an AR environment for motor imitation learning: A case-study on violinists.Computers in human behavior · 2023Article
- Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A Controlled, Randomized Trial.Frontiers in psychology · 2021Article
- Effects of Visual and Auditory Feedback in Violin and Singing Voice Pitch Matching Tasks.Frontiers in psychology · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The production of good sound generation in the violin is a complex task that requires coordination and spatiotemporal control of bowing gestures. The use of motion-capture technologies to improve performance or reduce injury risks in the area of kinesiology is becoming widespread. The combination of motion accuracy and sound quality feedback has the potential of becoming an important aid in violin learning. In this study, we evaluate motion-capture and sound-quality analysis technologies developed inside the context of the TELMI, a technology-enhanced music learning project. We analyzed the sound and bow motion of 50 participants with no prior violin experience while learning to produce a stable sound in the violin. Participants were divided into two groups: the experimental group (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.