让音乐随运动强度实时调整，提升锻炼动力和效率
RISE: Adaptive music playback for Realtime Intensity Synchronization with Exercise
- 根据运动节奏动态重组音乐段落，匹配高强度时段
- 12名参与者测试显示，音乐同步能有效维持运动强度
- 适合健身教练与运动科技开发者参考
我们提出一种系统RISE，通过将高能量音乐片段与运动中的高强度阶段对齐，实现音乐与锻炼的实时强度同步。运动中听音乐可提升动机和表现，但音乐结构常与用户的休息和工作周期不匹配，导致用户在等待激励段落时停留过久，或在激励段落后迅速失去动力。为解决此问题，RISE自动识别音乐中的高强度段落，并利用基于组件的音乐重排技术，动态拉伸或压缩歌曲不同部分，以适应当前运动计划。系统输入为预设或手动输入的休息与工作时长。我们在实验室对12名参与者进行了评估，对比了RISE与非自适应音乐基线的表现。参与者认为重构后的音乐保持了强度估计的准确性，多人回忆起音乐对齐帮助其坚持完成训练的关键时刻。
原文摘要 · Abstract (English)
We propose a system to adapt a user's music to their exercise by aligning high-energy music segments with intense intervals of the workout. Listening to music during exercise can boost motivation and performance. However, the structure of the music may be different from the user's natural phases of rest and work, causing users to rest longer than needed while waiting for a motivational section, or lose motivation mid-work if the section ends too soon. To address this, our system, called RISE, automatically estimates the intense segments in music and uses component-based music rearrangement techniques to dynamically extend and shorten different segments of the user's song to fit the ongoing exercise routine. Our system takes as input the rest and work durations to guide adaptation. Currently, this is determined either via a pre-defined plan or manual input during the workout. We evaluated RISE with 12 participants and compared our system to a non-adaptive music baseline while exercising in our lab. Participants found our rearrangements keeps intensity estimation accurate, and many recalled moments when intensity alignment helped them push through their workout.
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