Walking Pace Induction Application Based on the BPM and RhythmValue of Music

Atsushi Otsubo, Hirohiko Suwa, Yutaka Arakawa, Keiichi Yasumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Walking has been attracting attention as an important means for prevention and improvement of lifestyle diseases, such as high blood pressure and diabetes. However, walking at a continuous pace with high load can be challenging, and health benefits cannot be expected when walking with low load. A walking pace support system is necessary in order to achieve effective walking. Hence, we are developing BeatSync, a smartphone application that realizes the induction of a natural and accurate walking pace by the rhythm of music. This application can select songs from a user’s music library. However, some songs, such as songs with a fast (slow) rhythm or complex beats, are not suitable for walking pace induction. In the present paper, we consider the speed and clarity of music rhythm to be an important factor in selecting a song that is suitable for walking pace induction and make an index and clarify its effect on walking pace induction. In the present study, BPM is used as an index of rhythm speed, and RhythmValue (RV) is proposed as an index of rhythm clarity. In order to verify the effectiveness of the index, we conducted walking pace induction experiments using 30 songs with different speeds and clarities (two sets of 15 songs) with 14 participants. As a result, the experiments confirmed that the proposed index can distinguish songs that are suitable or unsuitable for walking pace induction and can select songs that are suitable for walking pace induction.

Original languageEnglish
Title of host publicationWireless Mobile Communication and Healthcare - 8th EAI International Conference, MobiHealth 2019, Proceedings
EditorsGregory M.P. O’Hare, Michael J. O’Grady, John O’Donoghue, Patrick Henn
PublisherSpringer
Pages60-74
Number of pages15
ISBN (Print)9783030492885
DOIs
Publication statusPublished - 2020
Event8th EAI International Conference on Mobile Communication and Healthcare, MobiHealth 2019 - Dublin, Ireland
Duration: Nov 14 2019Nov 15 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume320 LNICST
ISSN (Print)1867-8211

Conference

Conference8th EAI International Conference on Mobile Communication and Healthcare, MobiHealth 2019
CountryIreland
CityDublin
Period11/14/1911/15/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Otsubo, A., Suwa, H., Arakawa, Y., & Yasumoto, K. (2020). Walking Pace Induction Application Based on the BPM and RhythmValue of Music. In G. M. P. O’Hare, M. J. O’Grady, J. O’Donoghue, & P. Henn (Eds.), Wireless Mobile Communication and Healthcare - 8th EAI International Conference, MobiHealth 2019, Proceedings (pp. 60-74). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 320 LNICST). Springer. https://doi.org/10.1007/978-3-030-49289-2_5