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Runner’s Jukebox: A Music Player for Running using Pace Recognition and Music Mixing
Authors:
Sanghoon Jun
Jehyeok Rew
Eenjun Hwang
Keywords: Interactive music, Mobile application interface, Pace tracking, Context-aware computing, Wearable computing.
Abstract:
In this paper, we propose a smartphone music player called Runner’s Jukebox (RJ) that is especially effective for walking and running activity. RJ consists of user pace speed recognizer, music archive with feature data, and dual music player. To show its effectiveness, we assume two scenarios in this paper: (i) users are required to catch up with music tempos of predefined playlist. (ii) Songs are played dynamically or changed to match with the speed of user pace. We present novel pace recognition algorithm that enables RJ to recognize user pace in any orientations and even in the pocket. Various methods for playing and selecting songs based on user pace speed are presented. In addition, in order for seamless playback of songs, two mixing schemes are presented for music player. To evaluate the performance of our proposed scheme, we carried out several experiments on an Android platform. We report some of the results.
Pages: 18 to 22
Copyright: Copyright (c) IARIA, 2015
Publication date: April 19, 2015
Published in: conference
ISSN: 2308-4448
ISBN: 978-1-61208-400-8
Location: Barcelona, Spain
Dates: from April 19, 2015 to April 24, 2015