Brass Haptics: Comparing Virtual and Physical Trumpets in Extended Realities

Author:

Blewett Devon John1ORCID,Gerhard David2ORCID

Affiliation:

1. Department of Computer Science, University of Regina, Regina, SK S4S 0A2, Canada

2. Department of Computer Science, University of Manitoba, Winnipeg, MB R3T 2N2, Canada

Abstract

Despite the benefits of learning an instrument, many students drop out early because it can be frustrating for the student, expensive for the caregiver, and loud for the household. Virtual Reality (VR) and Extended Reality (XR) offer the potential to address these challenges by simulating multiple instruments in an engaging and motivating environment through headphones. To assess the potential for commercial VR to augment musical experiences, we used standard VR implementation processes to design four virtual trumpet interfaces: camera-tracking with tracked register selection (two ways), camera-tracking with voice activation, and a controller plus a force-feedback haptic glove. To evaluate these implementations, we created a virtual music classroom that produces audio, notes, and finger pattern guides loaded from a selected Musical Instrument Digital Interface (MIDI) file. We analytically compared these implementations against physical trumpets (both acoustic and MIDI), considering features of ease of use, familiarity, playability, noise, and versatility. The physical trumpets produced the most reliable and familiar experience, and some XR benefits were considered. The camera-based methods were easy to use but lacked tactile feedback. The haptic glove provided improved tracking accuracy and haptic feedback over camera-based methods. Each method was also considered as a proof-of-concept for other instruments, real or imaginary.

Funder

University of Regina

Publisher

MDPI AG

Subject

General Materials Science

Reference64 articles.

1. Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: A proof of concept study;Adamovich;Journal of Neuroengineering and Rehabilitation,2009

2. A review of extended reality (XR) technologies in the future of human education: Current trend and future opportunity;Alnagrat;Journal of Human Reproductive Sciences,2022

3. Azarov, Elias, Vashkevich, Maxim, and Petrovsky, Alexander (, January August). Instantaneous pitch estimation based on rapt framework. Paper Presented at the 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO), Bucharest, Romania.

4. Ban, Reigo, Hirao, Yutaro, and Narumi, Takuji (3, January March). Determining the target point of the mid-air pinch gesture. Paper Presented at the 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Virtual.

5. Virtual reality exposure training for musicians: Its effect on performance anxiety and quality;Bissonnette;Medical Problems of Performing Artists,2015

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