mlsanityData to 14 Oct 2026

Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition

arXiv 1512.06747 ↗First posted 21 Dec 2015cs.AIcited by 22

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Abstract (arXiv)

Accurate and computationally efficient means for classifying human activities have been the subject of extensive research efforts. Most current research focuses on extracting complex features to achieve high classification accuracy. We propose a template selection approach based on Dynamic Time Warping, such that complex feature extraction and domain knowledge is avoided. We demonstrate the predictive capability of the algorithm on both simulated and real smartphone data.

Key facts. Cited by 22 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Dec 2015.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 5; 2022: 5; 2023: 5; 2024: 3; 2025: 3; 2026: 1.

22 papers.

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  1. 2023TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classificationcited by 16
  2. 2021Spectral embedding for dynamic networks with stability guaranteescited by 13
  3. 2024TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learningcited by 12
  4. 2023Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approachcited by 8
  5. 2023MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphscited by 7
  6. 2021Predictive Maintenance for General Aviation Using Convolutional Transformerscited by 6
  7. 2022A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classificationcited by 6
  8. 2022Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerabilitycited by 5
  9. 2022Improving Accuracy and Explainability of Online Handwriting Recognitioncited by 2
  10. 2022A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFIDcited by 2
  11. 2025FIC-TSC: Learning Time Series Classification with Fisher Information Constraintcited by 2
  12. 2021A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Networkcited by 1
10 more
  1. 2022Domain Generalization via Selective Consistency Regularization for Time Series Classificationcited by 1
  2. 2023Approximating DTW with a convolutional neural network on EEG datacited by 1
  3. 2024Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Datacited by 1
  4. 2025SigTime: Learning and Visually Explaining Time Series Signaturescited by 1
  5. 2021Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning Approachcited by 0
  6. 2021Correlation Based Feature Subset Selection for Multivariate Time-Series Datacited by 0
  7. 2023rTsfNet: a DNN model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognitioncited by 0
  8. 2024Predicting UAV Type: An Exploration of Sampling and Data Augmentation for Time Series Classificationcited by 0
  9. 2025Early Detection of Multidrug Resistance Using Multivariate Time Series Analysis and Interpretable Patient-Similarity Representationscited by 0
  10. 2026Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Seriescited by 0