Can Sequence Mining Improve Your Morning Mood? Toward a Precise Non-invasive Smart Clock

Abstract

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.