Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)

Recognition of Piano Play Gesture Based on Infrared Sensor Detection Rod

Authors
Xuyan Wang1, *
1Preschool Education, Teacher’s College Beihua University, Jilin, 132013, China
*Corresponding author. Email: 709732869@qq.com
Corresponding Author
Xuyan Wang
Available Online 4 July 2023.
DOI
10.2991/978-94-6463-192-0_49How to use a DOI?
Keywords
infrared sensor; Play the piano; Gesture recognition
Abstract

Piano playing gloves are a new intelligent wearable device. The multi-inertial sensors in the gloves can sense and analyze the gesture state of piano players in real time, which can make piano learners know whether the playing gestures are standard in real time, thus effectively improving piano learning efficiency and interest, and reducing learning costs. Different from gestures in other application fields, piano playing gestures have the characteristics of diversity, rapidity, great dynamics and strong time-varying. A design scheme of non-contact gesture recognition system is proposed. In this system, infrared and ambient light sensors Si1143 are combined with capacitive touch-sensitive microcontrollers such as C8051F700 and C8051F800 to realize non-contact gesture recognition, which can be used for various actions and gesture detection and distance calibration of target objects.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
4 July 2023
ISBN
978-94-6463-192-0
ISSN
2667-128X
DOI
10.2991/978-94-6463-192-0_49How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xuyan Wang
PY  - 2023
DA  - 2023/07/04
TI  - Recognition of Piano Play Gesture Based on Infrared Sensor Detection Rod
BT  - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023)
PB  - Atlantis Press
SP  - 378
EP  - 385
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-192-0_49
DO  - 10.2991/978-94-6463-192-0_49
ID  - Wang2023
ER  -