Matrix Profile based Anomaly Detection in Streaming Gait Data for Fall Prevention-Reference-Cited by-同舟云学术

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Matrix Profile based Anomaly Detection in Streaming Gait Data for Fall Prevention

Published:2023-06-27 Issue: Volume: Page:
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Container-title:2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)
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Author:

Gerazov Branislav¹,Hadjieva Elena²,Krivošei Andrei³,Sanchez Fiorella Ines Soto³,Rostovski Jakob³,Kuusik Alar³,Alam Mahtab³

Affiliation:

1. Ss Cyril and Methodius University,FEEIT,Skopje,N Macedonia

2. University of Information Science and Technology “St. Paul the Apostle”,Ohrid,N Macedonia

3. Tallinn University of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10180201/10180228/10180243.pdf?arnumber=10180243

Reference23 articles.

1. Fast anomaly detection for streaming data;tan;Twenty-second international joint conference on artificial intelligence IJCAI’11,2011

2. DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series

3. A Review on Accelerometry-Based Gait Analysis and Emerging Clinical Applications

4. Unsupervised real-time anomaly detection for streaming data

5. TEASER: early and accurate time series classification

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1. Anomaly Detection in Gas Turbines Using Outlet Energy Analysis with Cluster-Based Matrix Profile;Energies;2024-01-30

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