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Real-Time Change Point Detection with application to Smart Home Time Series Data

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Deep learning for sensor-based activity recognition: A Survey

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Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors’ Data

(2018) Kenan Li et al.   JMIR mHealth and uHealth

A semantics-based approach to sensor data segmentation in real-time Activity Recognition

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A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition

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A tutorial on human activity recognition using body-worn inertial sensors

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Exploring the latent segmentation space for the assessment of multiple change-point models

(2013) Yann Guédon   COMPUTATIONAL STATISTICS

A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data

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A Survey on Human Activity Recognition using Wearable Sensors

(2012) Oscar D. Lara et al.   IEEE Communications Surveys and Tutorials

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Optimal Detection of Changepoints With a Linear Computational Cost

(2012) R. Killick et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

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(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations

(2010) E Fuchs et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE