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JRM Vol.26 No.6 pp. 735-742
doi: 10.20965/jrm.2014.p0735
(2014)

Paper:

A Supporting System of Choral Singing for Visually Impaired Persons Using Depth Image Sensor

Noriyuki Kawarazaki*, Yuhei Kaneishi*, Nobuyuki Saito**,
and Takashi Asakawa***

*Kanagawa Institute of Technology, 1030 Shimo-Ogino, Atsugi-shi, Kanagawa 243-0292, Japan

**Asap System Co., Ltd., Setoru Higashioume 109, 2-18-5 Higashioume, Oume, Tokyo 198-0042, Japan

***Kinki University Technical College, 7-1 Kasugaoka, Nabari, Mie 518-0459, Japan

Received:
April 29, 2014
Accepted:
July 8, 2014
Published:
December 20, 2014
Keywords:
universal design, chorus support system, depth image sensor, electric music baton, haptic interface device
Abstract

Supporting system of choral singing

Visually impaired persons may find it difficult to take part in a chorus or other singing group because they cannot see the beat indicated by conductor’s hand movements. This paper provides a chorus support system for visually impaired persons using depth image sensor. This consists of an electric music baton with an acceleration sensor, a radio module, haptic interface devices with vibration motors, a depth image sensor, and a PC. The electric music baton transmits the signal indicating the conductor’s motion to visually impaired players based on sensor acceleration. Since the conductor must give individual instruction to player, we use a depth image sensor to indicate the direction in which the conductor’s baton points. This direction is estimated based on the conductor’s posture. We also attempted to develop a chorus support system without using the electric music baton. The beat is obtained by the maximum velocity position of the conductor’s hand motion using a depth image sensor. The effectiveness of our system is clarified by several experimental results.

Cite this article as:
N. Kawarazaki, Y. Kaneishi, N. Saito, and <. Asakawa, “A Supporting System of Choral Singing for Visually Impaired Persons Using Depth Image Sensor,” J. Robot. Mechatron., Vol.26, No.6, pp. 735-742, 2014.
Data files:
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Last updated on Nov. 15, 2018