0000000001072272

AUTHOR

Alexander Refsum Jensenius

showing 4 related works from this author

Group behaviour and interpersonal synchronization to electronic dance music

2017

The present study investigates how people move and relate to each other – and to the dance music – in a club-like setting created within a motion capture laboratory. Three groups of participants (29 in total) each danced to a 10-minute-long DJ mix consisting of four tracks of electronic dance music (EDM). Two of the EDM tracks had little structural development, while the two others included a typical “break routine” in the middle of the track, consisting of three distinct passages: (a) “breakdown”, (b) “build-up” and (c) “drop”. The motion capture data show similar bodily responses for all three groups in the break routines: a sudden decrease and increase in the general quantity of motion.…

DanceGroup (mathematics)05 social sciencesExperimental and Cognitive Psychology06 humanities and the artsInterpersonal communicationMotion capture050105 experimental psychologyElectronic dance music060404 musicSynchronization (computer science)0501 psychology and cognitive sciencesPsychologySocial psychology0604 artsMusicCognitive psychologyMusicae Scientiae
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Pleasurable and Intersubjectively Embodied Experiences of Electronic Dance Music

2016

How do dancers engage with electronic dance music (EDM) when dancing? This paper reports on an empirical study of dancers' pleasurable engagement with three structural properties of EDM: (1) breakdown, (2) build-up, and (3) drop. Sixteen participants danced to a DJ mix in a club-like environment, and the group’s bodily activity was recorded with an infrared, marker-based motion capture system. After they danced, the subjects filled out questionnaires about the pleasure they experienced and their relative desire to move while dancing. Subsequent analyses revealed associations between the group’s quantity of motion and self-reported experiences of pleasure. Associations were also found betwee…

lcsh:M1-5000EDMlcsh:Musicmotion capturegroups in motionpleasureintersubjectivityEmpirical Musicology Review
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Optical or Inertial? Evaluation of Two Motion Capture Systems for Studies of Dancing to Electronic Dance Music

2016

What type of motion capture system is best suited for studying dancing to electronic dance music? The paper discusses positive and negative sides of using camera-based and sensor-based motion tracking systems for group studies of dancers. This is exemplified through experiments with a Qualisys infrared motion capture system being used alongside a set of small inertial trackers from Axivity and regular video recordings. The conclusion is that it is possible to fine-tune an infrared tracking system to work satisfactory for group studies of complex body motion in a “club-like” environment. For ecological studies in a real club setting, however, inertial tracking is the most scalable and flexib…

ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
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Exploring relationships between effort, motion, and sound in new musical instruments

2020

We investigated how the action–sound relationships found in electric guitar performance can be used in the design of new instruments. Thirty-one trained guitarists performed a set of basic sound-producing actions (impulsive, sustained, and iterative) and free improvisations on an electric guitar. We performed a statistical analysis of the muscle activation data (EMG) and audio recordings from the experiment. Then we trained a long short-term memory network with nine different configurations to map EMG signal to sound. We found that the preliminary models were able to predict audio energy features of free improvisations on the guitar, based on the dataset of raw EMG from the basic soundprodu…

EMGmachine learningmotionembodiedmusiceffortmusical instrumentguitar
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