Scalable Cluster Tendency Assessment for Streaming Activity Data using Recurring Shapelets

Author:

Datta Shreyasi1,Karmakar Chandan2,Rathore Punit3,Palaniswami Marimuthu1

Affiliation:

1. University of Melbourne,Department of Electrical and Electronic Engineering,Australia

2. School of Information Technology, Deakin University,Australia

3. Robert Bosch Centre for Cyberphysical Systems, Indian Institute of Science (IISc.),Bengaluru,India

Publisher

IEEE

Reference26 articles.

1. Movement Primitive Segmentation for Human Motion Modeling: A Framework for Analysis

2. Complex Upper-Limb Movements Are Generated by Combining Motor Primitives that Scale with the Movement Size

3. User-independent recognition of sports activities from a single wrist-worn accelerometer: A template-matching-based approach;margarito;IEEE Transactions on Biomedical Engineering,2015

4. Detecting unseen anomalies in weight training exercises;kowsar;Proceedings of the 28th Australian Conference on Computer-Human Interaction,0

5. Novel features for capturing temporal variations of rhythmic limb movement to distinguish convulsive epileptic and psychogenic nonepileptic seizures;kusmakar;Epilepsia,2019

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