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Now showing items 111-118 of 118
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2020)
This paper describes an interactive art installation shown at ICLI in Trondheim in March 2020. The installation comprised three musical robots (Dr. Squiggles) that play rhythms by tapping. Visitors were invited to wear ...
(Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2023)
How does it feel to stand still in silence with others for 10 minutes at a time? The current chapter reports on a study of a small group of musicians and dancers that used standstill as their regular "warm-up" activity ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)
ZRob is a robotic system designed for playing a snare drum. The robot is constructed with a passive flexible spring-based joint inspired by the human hand. This paper describes a study exploring rhythmic patterns by ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)
The paper presents a study of the noise level of accelerometer data from a mobile phone compared to three commercially available IMU-based devices (AX3, Equivital, and Movesense) and a marker-based infrared motion capture ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
This paper presents an innovative experimental setup that employs the principles of audio technology to subject adherent cells to rhythmic vertical vibrations. We employ a novel approach that combines three-axis acceleration ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
Expert musicians portray awe-inspiring precision, timing, and phrasing and may be thought to partake in a “hive-mind.” Such a shared musical absorption is characterized by a heightened empathic relation, mutual trust, and ...
(Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2023)
Dynamic attending theory posits that we entrain to time-structured events in a similar way to synchronizing oscillators. Hence, a tempo tracker based on oscillators may replicate humans' ability to rapidly and robustly ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
Abstract
In this article, we introduce the coadaptive audiovisual instrument, CAVI. This instrument uses deep learning to generate control signals based on muscle and motion data of a performer's actions. The ...