Airstic Drum: A Drumstick for Integration of Real and Virtual Drums

Kanke, Hiroyuki; Takegawa, Yoshinari; Terada, Tsutomu; Tsukamoto, Masahiko

doi:10.1007/978-3-642-34292-9_5

Cited by 13 publications

(6 citation statements)

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“…As described earlier, other real-time discrete air-gesture systems have used various movement features to trigger sounds, including thresholds in position (Mäki-Patola 2005;Collicutt, Casciato, and Wanderley 2009), velocity (Havel and Desainte-Catherine 2004;Dahl and Wang 2010), and acceleration (Kanke et al 2012).…”

Section: Discussionmentioning

confidence: 98%

Studying the Timing of Discrete Musical Air Gestures

Dahl

2015

Computer Music Journal

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Motion-sensing technologies enable musical interfaces where a performer controls sound by moving his or her body "in the air," without touching a physical object. These interfaces work well when the movement and resulting sound are smooth and continuous, but it has proven difficult to design air instruments that trigger discrete sounds with precision that feels natural to performers and allows them to play rhythmically complex music.This article presents a study of "air drumming" gestures. Participants performed drumming-like gestures in time to simple recorded rhythms. These movements were recorded and examined to look for aspects of the movement that correspond to the timing of the sounds. The goal is to understand what we do with our bodies when we gesture in the air to trigger a sound. Two movement features of the hand are studied: Hits are the moment where the hand changes direction at the end of the striking gesture, and acceleration peaks are sharp peaks in magnitude acceleration as the hand decelerates. Hits and acceleration peaks are also detected for the movement of the wrist. It is found that the acceleration peaks are more useful than the hits because they occur earlier and with less variability, and their timing changes less with note speed. It is also shown that timing differences between hand and wrist features can be used to group performers into different movement styles.

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Section: Discussionmentioning

confidence: 98%

Studying the Timing of Discrete Musical Air Gestures

Dahl

2015

Computer Music Journal

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“…Kanke et al proposed a system for drums called Airstick Drum [5]. This system recognizes beating a drum or striking at the air with a drum stick attached with an accelerometer and gyro.…”

Section: Early Gesture Recognitionmentioning

confidence: 98%

Early Gesture Recognition Method with an accelerometer

Izuta

Murao

Terada

et al. 2014

Proceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia

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An accelerometer is installed in most current mobile phones, such as iPhones, Android-powered devices, and video game controllers for the Wii or PS3, which enables easy and intuitive operations. Therefore, many gesture-based user interfaces that use accelerometers are expected to appear in the future. Gesture recognition systems with an accelerometer generally have to be models constructed with a user's gesture data before use, and they need to recognize any unknown gestures by comparing them with an output of the recognition result and feedback delays since the recognition process generally starts after the gesture has finished, which may cause users to retry gestures and thus degrade the interface usability. We propose an early stages gesture recognition method that sequentially calculates the distance between the input and training data, and outputs recognition results only when one output candidate has a stronger likelihood than the others. Gestures are recognized in the early stages of a given motion without deteriorating the level of accuracy, which improves the interface usability. Our evaluation results indicated that the recognition accuracy approached 1.00 and the recognition results were output 1, 000 msec on average before a gesture had finished.

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“…Another group [6] modified the existing drumstick so that it outputs sound when the drummer strikes a virtual drum. They have equipped drumsticks with an accelerometer, a gyroscope, a PC and a Musical Instrument Digital Interface (MIDI) sound generator.…”

Section: Related Workmentioning

confidence: 99%

Creating an Interactive Musical Experience for a Concert Hall

Antoshchuk¹,

Kovalenko²,

Sieck³

2018

IJC

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In this paper we introduce a Kinect based posture recognition approach that can classify the user’s pose and gesture and match them to a set of predefined musical instruments. The efficiency of the approach is then demonstrated using two applications. The Virtual Orchestra system uses pose- and gesture-recognition along with Augmented Reality technology to add a virtual musical instrument into the scene, both visually and audibly: the visual representation of the instrument is placed into the user’s hands and the sound of the corresponding instrument is played. An additional functionality is that the user can control the intensity and the pitch of the sound by changing the speed of his hand or finger movements. The Magic Mirror game is the second application developed for the Berlin Concert Hall that uses the posture recognition approach to introduce the visitors to some classical music pieces and familiarize them with various classical musical instruments.

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Airstic Drum: A Drumstick for Integration of Real and Virtual Drums

Cited by 13 publications

References 1 publication

Studying the Timing of Discrete Musical Air Gestures

Studying the Timing of Discrete Musical Air Gestures

Early Gesture Recognition Method with an accelerometer

Creating an Interactive Musical Experience for a Concert Hall

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