Coarse-DTW: Exploiting Sparsity in Gesture Time Series

We presented a template matching method for automatically detecting and determining the shape of heartbeats in BCG signals, which solves amplitude and time

The basic idea of the proposed approach is to transform the time series of the dataset into vectorial representations such that a Euclidean search can then be efficiently applied

We have identified three main groups of time series representations: time-based representations (a raw time series is transformed into another time series that can be

The challenge in a database of evolving time series is to provide efficient algorithms and access methods for query processing, taking into consideration the fact that the database

In some cases, the performance is even better than with DTW, which is due to the fact that a filter is a versatile tool: for some problems it may be advantageous to distinguish

We demonstrate through exper- iments that providing first approximate and then progres- sive answers is useful (and necessary) for similarity search queries on very large time

In this paper we answer these questions and demonstrate that we can match ECG patterns with high accuracy in data streams with an average response time of less than 0,1 ms per window

When an object which was previously recognized is not recognized in the current time step, distance features are added to the time step feature at the same position as previously