From Motion to Emotion: Accelerometer Data Predict Subjective Experience of Music

Article English OPEN
Irrgang, Melanie; Egermann, Hauke;
(2016)
  • Publisher: Public Library of Science
  • Journal: PLoS ONE, volume 11, issue 7 (issn: 1932-6203, eissn: 1932-6203)
  • Publisher copyright policies & self-archiving
  • Related identifiers: pmc: PMC4945052, doi: 10.1371/journal.pone.0154360
  • Subject: Music Cognition | Electronics | Research Article | Cognitive Psychology | Mathematics | Classical Mechanics | Engineering and Technology | Mathematical and Statistical Techniques | Multivariate Analysis | Physical Sciences | Communication Equipment | Psychology | Physics | Cell Phones | Sensory Perception | Statistics (Mathematics) | Biology and Life Sciences | Emotions | Motion | Neuroscience | Research and Analysis Methods | Equipment | Medicine | Q | R | Music Perception | Relaxation (Psychology) | Social Sciences | Science | Accelerometers | Statistical Methods | Principal Component Analysis | Cognitive Science

Music is often discussed to be emotional because it reflects expressive movements in audible form. Thus, a valid approach to measure musical emotion could be to assess movement stimulated by music. In two experiments we evaluated the discriminative power of mobile-devic... View more
Share - Bookmark