HapticSOUND: An Interactive Learning Experience with a Digital Musical Instrument

被引:2
作者
Volioti, Christina [1 ]
Tsagaris, Apostolos [2 ]
Trigkas, Dimitrios [2 ]
Iliou, Theodoros [3 ]
Katsantonis, Menelaos N. [1 ]
Mavridis, Ioannis [1 ]
机构
[1] Univ Macedonia, Dept Appl Informat, Thessaloniki 54636, Greece
[2] Int Hellen Univ, Dept Ind Engn & Management, Thessaloniki 57001, Greece
[3] Democritus Univ Thrace, Dept Med, Med Informat Lab, Alexandroupolis 68100, Greece
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 12期
关键词
haptic technology; digital musical instrument; gesture recognition; sensorimotor learning; PERFORMANCE; FRAMEWORK;
D O I
10.3390/app13127149
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this paper, an interactive learning experience is proposed, aiming to involve museum visitors in a personalized experience of the transmittal of cultural knowledge in an active and creative way. The proposed system, called HapticSOUND, consists of three subsystems: (a) the Information, where visitors are informed about the traditional musical instruments; (b) the Entertainment, where visitors are entertained by playing serious games to virtually assemble traditional musical instruments by a set of 3D objects; and (c) the Interaction, where visitors interact with a digital musical instrument which is an exact 3D-printed replica of a traditional musical instrument, where cameras have been placed to capture user gestures and machine learning algorithms have been implemented for gesture recognition. The museum visitor can interact with the lifelike replica to tactilely and aurally explore the instrument's abilities, producing sounds guided by the system and receiving real-time visual and audio feedback. Emphasis is given to the Interaction Subsystem, where a pilot study was conducted to evaluate the usability of the subsystem. Preliminary results were promising since the usability was satisfactory, indicating that it is an innovative approach that utilizes sensorimotor learning and machine learning techniques in the context of playing sounds based on real-time gesture and fingering recognition.
引用
收藏
页数:15
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