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Encouraging spontaneous synchronisation with D-Jogger, an adaptive music player that aligns movement and music

. 2014 ; 9 (12) : e114234. [epub] 20141209

Language English Country United States Media electronic-ecollection

Document type Journal Article, Research Support, Non-U.S. Gov't

In this study we explore how music can entrain human walkers to synchronise to the musical beat without being instructed to do so. For this, we use an interactive music player, called D-Jogger, that senses the user's walking tempo and phase. D-Jogger aligns the music by manipulating the timing difference between beats and footfalls. Experiments are reported that led to the development and optimisation of four alignment strategies. The first strategy matched the music's tempo continuously to the runner's pace. The second strategy matched the music's tempo at the beginning of a song to the runner's pace, keeping the tempo constant for the remainder of the song. The third alignment starts a song in perfect phase synchrony and continues to adjust the tempo to match the runner's pace. The fourth and last strategy additionally adjusts the phase of the music so each beat matches a footfall. The first two strategies resulted in a minor increase of steps in phase synchrony with the main beat when compared to a random playlist, the last two strategies resulted in a strong increase in synchronised steps. These results may be explained in terms of phase-error correction mechanisms and motor prediction schemes. Finding the phase-lock is difficult due to fluctuations in the interaction, whereas strategies that automatically align the phase between movement and music solve the problem of finding the phase-locking. Moreover, the data show that once the phase-lock is found, alignment can be easily maintained, suggesting that less entrainment effort is needed to keep the phase-lock, than to find the phase-lock. The different alignment strategies of D-Jogger can be applied in different domains such as sports, physical rehabilitation and assistive technologies for movement performance.

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Karageorghis C, Priest D (2012) Music in the exercise domain: a review and synthesis (Part II). International Review of Sport and Exercise Psychology 5:67–84. PubMed PMC

Bood RJ, Nijssen M, van der Kamp J, Roerdink M (2013) The Power of Auditory-Motor Synchronization in Sports: Enhancing Running Performance by Coupling Cadence with the Right Beats. PloS one 8:e70758. PubMed PMC

Fritz T, Hardikar S, Demoucron M, Niessen M, Demey M, et al. (2013) Musical agency reduces perceived exertion during strenuous physical performence. Proceedings of the National Academy of Sciences of the United States of America 110:17784–17789. PubMed PMC

Leman M, Moelants D, Varewyck M, Styns F, van Noorden L, et al. (2013) Activating and relaxing music entrains the speed of beat synchronized walking. PloS one 8:e67932. PubMed PMC

Mendonça C, Oliveira M, Fontes L, Santos J (2014) The effect of instruction to synchronize over step frequency while walking with auditory cues on a treadmill. Human movement science 33:33–42. PubMed

Simpson SD, Karageorghis CI (2006) The effects of synchronous music on 400-m sprint performance. Journal of sports sciences 24:1095–102. PubMed

Styns F, van Noorden L, Moelants D, Leman M (2007) Walking on music. Human movement science 26:769–85. PubMed

Lane A, Davis P, Devonport T (2011) Effects of music interventions on emotional states and running performance. Journal of Sports Science and Medicine 10:400–407. PubMed PMC

Terry P, Karageorghis C (2012) Effects of synchronous music on treadmill running among elite triathletes. Journal of Science and Medicine in Sport 15:52–7. PubMed

Bacon C, Myers T, Karageorghis C (2012) Effect of music-movement synchrony on exercise oxygen consumption. The Journal of sports medicine and physical fitness 52:359–365. PubMed

Hoffmann C, Torregrosa G, Bardy B (2012) Sound Stabilizes Locomotor-Respiratory Coupling and Reduces Energy Cost. PloS one 7:e45206. PubMed PMC

Karageorghis CI, Priest Dl (2012) Music in the exercise domain: a review and synthesis (Part I). International Review of Sport and Exercise Psychology 5:44–66. PubMed PMC

Moens B, Noorden LV, Leman M (2010) D-Jogger: Syncing music with walking. Proceedings of SMC Conference: 451–456.

Miyake Y (2009) Interpersonal synchronization of body motion and the Walk-Mate walking support robot. IEEE Transactions on Robotics 25:638–644.

Papetti S, Civolani M, Fontana F (2011) Rhythm n Shoes: a wearable foot tapping interface with audio-tactile feedback. Proceedings of the International Conference on New Interfaces for Musical Expression: 473–476.

Masahiro N, Takaesu H (2008) Development of an automatic music selection system based on runner's step frequency. Proceedings of ISMIR conference: 193–198.

Hockman J (2009) Real-time phase vocoder manipulation by runner's pace. Proceedings of the International Conference on New Interfaces for Musical Expression: 90–93.

de Bruin N, Doan JB, Turnbull G, Suchowersky O, Bonfiueld S, et al. (2010) Walking with music is a safe and viable tool for gait training in Parkinson's disease: the effect of a 13-week feasibility study on single and dual task walking. Parkinson's disease vol 2010:483–530. PubMed PMC

Hove M, Suzuki K, Uchitomi H (2012) Interactive Rhythmic Auditory Stimulation reinstates natural 1/f structure in gait of Parkinson's patients. PloS one 7:e0032600. PubMed PMC

Willems A, Nieuwboer A, Chavret F, Desloovere K, Dom R, et al. (2006) The use of rhythmic auditory cues to influence gait in patients with Parkinson's disease, the differential effect for freezers and non-freezers, an explorative study. Disability and Rehabilitation 28:721–8. PubMed

Chaiwanichsiri D (2011) Treadmill training with music cueing: a new approach for Parkinson's gait facilitation. Asian Biomed 5:649–654.

Delaherche E, Chetouani M, Mahdhaoui A, Saint-Georges C, Viaux S, et al. (2012) Interpersonal synchrony: A survey of evaluation methods across disciplines. Affective Computing, IEEE Transactions 3:349–365.

Merker B, Madison G, Eckerdal P (2009) On the role and origin of isochrony in human rhythmic entrainment. Cortex 45:4–17. PubMed

Repp BH, Su YH (2013) Sensorimotor synchronization: A review of recent research (2006–2012). Psychonomic Bulletin & Review 20:403–452. PubMed

Konvalinka I, Vuust P, Roepstorff A, Frith CD (2010) Follow you, follow me: continuous mutual prediction and adaptation in joint tapping. The Quarterly Journal of Experimental Psychology 63:2220–2230. PubMed

Nowicki L, Prinz W, Grosjean M, Repp BH, Keller PE (2013) Mutual adaptive timing in interpersonal action coordination. Psychomusicology: Music, Mind, and Brain 23:6–20.

Large EW, Snyder JS (2009) Pulse and meter as neural resonance. Annals of the New York Academy of Sciences 1169:46–57. PubMed

Nessler J, Gilliland S (2009) Interpersonal synchronization during side by side treadmill walking is influenced by leg length differential and altered sensory feedback. Human movement science 28:772–85. PubMed

Schmidt R, Carello C, Turvey M (1990) Phase transitions and critical fluctuations in the visual coordination of rhythmic movements between people. Journal of experimental psychology Human perception and performance 16:227–47. PubMed

Fairhurst M, Janata P, Keller P (2013) Being and feeling in sync with an adaptive virtual partner: brain mechanisms underlying dynamic cooperativity. Cerebral Cortex 23:2592–2600. PubMed

Fairhurst MT, Janata P, Keller PE (2013) Being and feeling in sync with an adaptive virtual partner: brain mechanisms underlying dynamic cooperativity. Cerebral Cortex 23:2592–2600. PubMed

Haken H, Kelso J, Bunz H (1985) A theoretical model of phase transitions in human hand movements. Biological cybernetics 51:347–356. PubMed

Kelso J, Colle JD, Schöner G (1990) Action-perception as a pattern formation process. Attention and Performance 13:139–169.

Schmidt RC, Richardson MJ (2008) In: Coordination: Neural, behavioral and social dynamics, Springer, chapter Dynamics of interpersonal coordination. pp. 281–308.

Pappas I, Popovic M (2001) A reliable gait phase detection system. IEEE Transactions on Neural Systems and Rehabilitation Engineering 9:113–25. PubMed

Ying H, Silex C, Schnitzer A (2007) Automatic step detection in the accelerometer signal. IFMBE Proceedings 13:80–85.

Moens B (2010) Sensor evaluation for real-time pace and step detection for sonic interaction. Available: https://biblio.ugent.be/publication/1085469/file/1085473.pdf. Accessed 2013 Jan 9.

Dixon S (2007) Evaluation of the audio beat tracking system beatroot. Journal of New Music Research 36:39–50.

Zplanede (2002) Élastique Time-Stretching and Pitch-Shifting SDKs. Available: http://www.zplane.de/index.php. Accessed 2013 Mar 9.

Nilsson J, Thorstensson A (1989) Ground reaction forces at different speeds of human walking and running. Acta Physiologica Scandinavica 136:217–27. PubMed

O'Connor C, Thorpe S, O'Malley M, Vaughan C (2007) Automatic detection of gait events using kinematic data. Gait & Posture 25:469–74. PubMed

Dixon S (2007) Evaluation of the audio beat tracking system beatroot. Journal of New Music Research 36:39–50.

Scafetta N, Marchi D, West B (2009) Understanding the complexity of human gait dynamics. Chaos: An Interdisciplinary Journal of nonlinear Science 19:026108. PubMed

Hausdorff J (2009) Gait dynamics in Parkinson's disease: common and distinct behavior among stride length, gait variability, and fractal-like scaling. Chaos: An Interdisciplinary Journal of nonlinear Science 19:026–113. PubMed PMC

Hausdorff JM, Purdon PL, Peng CK, Ladin Z, Wei JY, et al. (1996) Fractal dynamics of human gait: stability of long-range correlations in stride interval fluctuations. Journal of applied physiology 80:1448–57. PubMed

Jordan K, Challis JH, Newell KM (2007) Walking speed influences on gait cycle variability. Gait & posture 26:128–34. PubMed

Fisher N (1995) Statistical analysis of circular data. West Nyack, New York, U.S.A.: Cambridge University press.

Berens P (2009) CircStat: a MATLAB toolbox for circular statistics. Journal of Statistical Software 31:1–21.

Wilkie D (1983) Rayleigh test for randomness of circular data. Applied statistics 32:311–312.

Ajne B (1968) A simple test for uniformity of a circular distribution. Biometrika 55:343–354. PubMed

Mendonça C, Oliveira M, Fontes L, Santos J (2014) The effect of instruction to synchronize over step frequency while walking with auditory cues on a treadmill. Human Movement Science 33:33–42. PubMed

MacDougall H, Moore S (2005) Marching to the beat of the same drummer: the spontaneous tempo of human locomotion. Journal of applied physiology 99:1164–73. PubMed

Kendzierski D, DeCarlo K (1991) Physical Activity Enjoyment Scale: Two validation studies. Journal of Sport & Exercise Psychology 13:50–64.

Motl R, Dishman R, Saunders R (2001) Measuring enjoyment of physical activity in adolescent girls. American Journal of Preventive Medicine 21:110–117. PubMed

Zar J (1999) Biostatistical analysis.

Karageorghis C, Priest D (2006) Redesign and initial validation of an instrument to assess the motivational qualities of music in exercise: The Brunel Music Rating Inventory-2. Journal of sports sciences 24:899–909. PubMed

Stergiou N, Decker LM (2011) Human movement variability, nonlinear dynamics, and pathology: is there a connection? Human movement science 30:869–888. PubMed PMC

Madison G (2014) Sensori-motor synchronisation variability decreases as the number of metrical levels in the stimulus signal increases. Acta psychologica 2014:10–6. PubMed

Phillips-Silver J, Toiviainen P, Gosselin N (2011) Born to dance but beat deaf: A new form of congenital amusia. Neuropsychologia 49:961–9. PubMed

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Tempo and walking speed with music in the urban context

. 2014 ; 5 () : 1361. [epub] 20141202

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