Time Series Analysis and Forecasting

13 works in the bibliography carry this topic. Each used an Axivity accelerometer to collect data, or evaluated one as an instrument.

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2026

  1. Essential time series characteristics for human motion analysis based on Self-Organizing Map clustering (opens in new tab)
  2. Feature Anchors for Time-Series Sensor-Based Human Activity Recognition

2025

  1. Exploración de patrones en series temporales de datos inerciales usando técnicas de segmentación no supervisada

2024

  1. Adaptive Hierarchical Classification for Human Activity Recognition Using Inertial Measurement Unit (IMU) Time-Series Data (opens in new tab)
  2. Contrast All the Time: Learning Time Series Representation from Temporal Consistency (opens in new tab)
  3. Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills (opens in new tab)
  4. SelfPAB: large-scale pre-training on accelerometer data for human activity recognition (opens in new tab)
  5. Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition (opens in new tab)

2023

  1. Calculating the matrix profile from noisy data (opens in new tab)
  2. Periodicity Intensity Reveals Insights into Time Series Data: Three Use Cases (opens in new tab)

2018

  1. Time Series Classification to Improve Poultry Welfare (opens in new tab)

2017

  1. Learning deep features for kNN-based human activity recognition.

2016

  1. Comparison of tri-axial accelerometers step-count accuracy in slow walking conditions (opens in new tab)