![]() These results may be explained in terms of phase-error correction mechanisms and motor prediction schemes. ![]() 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. The fourth and last strategy additionally adjusts the phase of the music so each beat matches a footfall. The third alignment starts a song in perfect phase synchrony and continues to adjust the tempo to match 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 first strategy matched the music's tempo continuously to the runner's pace. Experiments are reported that led to the development and optimisation of four alignment strategies. D-Jogger aligns the music by manipulating the timing difference between beats and footfalls. For this, we use an interactive music player, called D-Jogger, that senses the user's walking tempo and phase. In this study we explore how music can entrain human walkers to synchronise to the musical beat without being instructed to do so. ![]()
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