In almost every scientific field, measurements are performed over time. These observations
lead to a collection of organized data called time series. The purpose of time-series data …

The recent explosion in the adoption of search engines and new media such as blogs and
Twitter have facilitated faster propagation of news and rumors. How quickly does a piece of …

Most time series data mining algorithms use similarity search as a core subroutine, and thus
the time taken for similarity search is the bottleneck for virtually all time series data mining …

We present a real-time gesture classification system for skeletal wireframe motion. Its key
components include an angular representation of the skeleton designed for recognition …

The reuse of human motion capture data to create new, realistic motions by applying
morphing and blending techniques has become an important issue in computer animation …

This paper presents new methods for automatic classification and retrieval of motion capture
data facilitating the identification of logically related motions scattered in some database. As …

The development of methods and tools for the generation of visually appealing motion
sequences using prerecorded motion capture data has become an important research area …

This article proposes a novel framework for the real-time capture, assessment, and
visualization of ballet dance movements as performed by a student in an instructional, virtual …

The last few years have seen an increasing understanding that dynamic time warping
(DTW), a technique that allows local flexibility in aligning time series, is superior to the …

The matching of two-dimensional shapes is an important problem with applications in
domains as diverse as biometrics, industry, medicine and anthropology. The distance …