序列挖掘能改善早晨的心情吗?迈向精确的非侵入式智能时钟

Zakaria M. Djedou, Fabrice Muhlenbach, P. Maret, G. Lopez
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引用次数: 3

摘要

本文的目的是介绍我们在一种新型智能闹钟序列挖掘技术设计方面的初步方法和工作进展。这款闹钟将在预定的时间框架内,在最适合的生理时刻向用户发出警报。我们依靠可穿戴生物传感器收集各种信号(ECG,运动,温度)和算法,动态挖掘到异构数据序列,以识别睡眠周期。该系统将比其他系统干扰更少,更准确。本文介绍了基础领域、方法和我们正在实施的实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can Sequence Mining Improve Your Morning Mood? Toward a Precise Non-invasive Smart Clock
The aim of this paper is to present our preliminary approach and work in progress in the design of sequence mining techniques for a new smart clock alarm. This clock alarm will ring the user at the most physiological opportune moment in a predefined time frame. We rely on a wearable biosensor collecting various signals (ECG, movement, temperature) and on algorithms that dynamically mine into the sequences of heterogeneous data to identify sleep cycles. The system will be less intrusive and more accurate than others. This paper presents the underlying domains, the method and the experiments we are implementing.
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