Emovere: Designing sound interactions for biosignals and dancers

Proceedings of the International Conference on New Interfaces for Musical Expression

Volumn , Issue , 2016, Pages 316-320

  Jaimovich, Javier ^a  

^a UNIVERSITY OF CHILE   (Chile)

Author keywords

Biofeedback; Biosignals; Dance; ECG; EMG; Emotion; Physiology; Sound

Indexed keywords

BIOFEEDBACK; PHYSIOLOGY;

BIOSIGNALS; DANCE; EMG; EMOTION; INTERACTION MODES; PERFORMANCE; PHYSIOLOGICAL SIGNALS; REAL- TIME; SOUND INTERACTIONS; THEORETICAL FRAMEWORK;

ELECTROCARDIOGRAMS;

EID: 85038392937     PISSN: 22204792     EISSN: 22204806     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. A Brief History of Biosignal-Driven Art: From Biofeedback to Biophysical: 2012. \ihttp://cec.sonus.ca/econtact/14_2/ortiz_biofeedback.ht ml. Accessed: 2015-12-10.
2. Bloch, S. 2008. Al alba de las emociones. UQBAR.
3. Bloch, S. 1993. Alba Emoting: A Psychophysiological Technique to Help Actors Create and Control Real Emotions. Theatre Topics. 3, 2 (1993), 121-138.
4. Bradley, M.M. and Lang, P.J. 2007. Emotion and Motivation. Handbook of Psychophysiology. 581-607.
5. Burleson, K.O. and Schwartz, G.E. 2005. Cardiac torsion and electromagnetic fields: The cardiac bioinformation hypothesis. Medical Hypotheses. 64, 6 (2005), 1109-1116.
6. Cacioppo, J.T., Tassinary, L.G. and Berntson, G.G. 2007. Handbook of Psychophysiology. Cambridge University Press.
7. Caramiaux, B., Donnarumma, M. and Tanaka, A. 2015. Understanding Gesture Expressivity Through Muscle Sensing. ACM Trans. Comput.-Hum. Interact. 21, 6 (Jan. 2015), 31:1-31:26.
8. Donnarumma, M. 2011. Xth Sense: a study of muscle sounds for an experimental paradigm of musical performance. Ann Arbor, MI: Michigan Publishing, University of Michigan Library.
9. Green, D.F. Choreographing From Within: Developing the Habit of Inquiry as an Artist. Human Kinetics.
10. Jaimovich, J. and Knapp, R.B. 2015. Creating Biosignal Algorithms for Musical Applications from an Extensive Physiological Database. Proceedings of the 2015 Conference on New Interfaces for Musical Expression (NIME 2015) (Baton Rouge, LA, Jun. 2015).
11. Kalawski, J.P. 2013. Using Alba EmotingTM to work with emotions in psychotherapy: Alba EmotingTM in Psychotherapy. Clinical Psychology & Psychotherapy. 20, 2 (Mar. 2013), 180-187.
12. Knapp, R.B. and Lusted, H.S. 1990. A Bioelectric Controller for Computer Music Applications. Computer Music Journal. 14, 1 (Apr. 1990), 42-47.
13. Kreibig, S.D. 2010. Autonomic nervous system activity in emotion: A review. Biological Psychology. 84, 3 (Jul. 2010), 394-421.
14. Miranda, E.R. and Wanderley, M.M. 2006. New Digital Musical Instruments. A-R Editions, Inc.
15. Nymoen, K., Haugen, M.R. and Jensenius, A.R. 2015. MuMYO-Evaluating and Exploring the MYO Armband for Musical Interaction. (2015).
16. Ortiz, M.A. 2010. Towards an Idiomatic Compositional Language for Biosignal Interfaces. Queen’s University Belfast.
17. Picard, R.W. 1997. Affective Computing. Technical Report #231. M.I.T Media Laboratory.
18. Plutchik, R. 1994. The Psychology and Biology of Emotion. HarperCollins College Publishers.
19. Rosenboom, D. 1997. Extended Musical Interface With The Human Nervous System, Assessment And Prospectus. (1997).
20. S. Mealla Cincuegrani, Jordà, S. and Väljamäe, A. 2016. Physiopucks: Increasing User Motivation by Combining Tangible and Implicit Physiological Interaction. ACM Trans. Comput.-Hum. Interact. 23, 1 (Feb. 2016), 4:1-4:22.
21. The Use of Electromyogram Signals (EMG) in Musical Performance: A Personal Survey of Two Decades of Practice: 2012. \ihttp://cec.sonus.ca/econtact/14_2/tanaka_personalsurve y.html. Accessed: 2015-12-10.