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

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Long Memory of Financial Time Series and Hidden Markov Models with Time‐Varying Parameters
inferredcites →https://doi.org/10.1007/978-3-319-12817-7_7openalex-snapshot
Accelerometer-Based Human Activity Recognition in Smartphones for Healthcare Services
inferredcites →https://doi.org/10.1007/978-3-642-35395-6_30openalex-snapshot
Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine
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A Bayesian approach to retrospective identification of change-points
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Multiple break detection in the correlation structure of random variables
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Physical activity and exercise in asthma: Relevance to etiology and treatment
inferredcites →https://doi.org/10.1038/sj.jea.7500165openalex-snapshot
The National Human Activity Pattern Survey (NHAPS): a resource for assessing exposure to environmental pollutants
inferredcites →https://doi.org/10.1109/78.678493openalex-snapshot
Generalized digital Butterworth filter design
inferredcites →https://doi.org/10.1109/bsn.2016.7516231openalex-snapshot
HIPAA compliant wireless sensing smartwatch application for the self-management of pediatric asthma
inferredcites →https://doi.org/10.1109/embc.2018.8513320openalex-snapshot
Children Activity Recognition: Challenges and Strategies
inferredcites →https://doi.org/10.1109/icasid.2015.7405672openalex-snapshot
A new method for human action recognition: Discrete HMM with improved LBG algorithm
inferredcites →https://doi.org/10.1109/iembs.2008.4650379openalex-snapshot
Accelerometer signal-based human activity recognition using augmented autoregressive model coefficients and artificial neural nets
inferredcites →https://doi.org/10.1109/sisy.2017.8080544openalex-snapshot
Human action recognition with hidden Markov models and neural network derived poses
inferredcites →https://doi.org/10.1109/surv.2012.110112.00192openalex-snapshot
A Survey on Human Activity Recognition using Wearable Sensors
inferredcites →https://doi.org/10.1109/tim.2011.2122490openalex-snapshot
Wearable Mobility Monitoring Using a Multimedia Smartphone Platform
inferredcites →https://doi.org/10.1136/thx.2005.042523openalex-snapshot
Study of modifiable risk factors for asthma exacerbations: virus infection and allergen exposure increase the risk of asthma hospital admissions in children
inferredcites →https://doi.org/10.1136/thx.45.5.345openalex-snapshot
Benefits and problems of a physical training programme for asthmatic patients.
inferredcites →https://doi.org/10.1142/5210openalex-snapshot
Data Mining in Time Series Databases
inferredcites →https://doi.org/10.1145/1980022.1980307openalex-snapshot
Comparison of different approaches for removal of baseline wander from ECG signal
inferredcites →https://doi.org/10.1159/000486347openalex-snapshot
Use of Mobile Devices to Measure Outcomes in Clinical Research, 2010–2016: A Systematic Literature Review
inferredcites →https://doi.org/10.1161/circulationaha.107.185649openalex-snapshot
Physical Activity and Public Health
inferredcites →https://doi.org/10.1371/journal.pone.0050775openalex-snapshot
Physical Activity and Asthma: A Systematic Review and Meta-Analysis
inferredcites →https://doi.org/10.3390/s17081780openalex-snapshot
Feasibility of a Secure Wireless Sensing Smartwatch Application for the Self-Management of Pediatric Asthma

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Current Applications of Artificial Intelligence and Machine Learning in Lumbar Spine Surgery
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Enhancing Dynamic Human Activity Recognition Through a Novel Martingale-Based Algorithm for Change Detection
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Wearable Cyberphysical Systems for Biomedicine
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Wearable biosensors and devices for lung function monitoring
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A data analytic end-to-end framework for the automated quantification of ergonomic risk factors across multiple tasks using a single wearable sensor
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Weakly-supervised sensor-based activity segmentation and recognition via learning from distributions
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Fusing CNNs and attention-mechanisms to improve real-time indoor Human Activity Recognition for classifying home-based physical rehabilitation exercises
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Understanding the interaction between human activities and physical health under extreme heat environment in Phoenix, Arizona
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A Model to Reduce Musculoskeletal Disorders Using Wearable Sensors for Detecting Office Worker Postures
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Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey
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B-HAR: An Open-Source Baseline Framework for In-Depth Study of Human Activity Recognition Datasets and Workflows
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Passive Monitoring of Physiological Precursors of Stress Leveraging Smartwatch Data
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Smartwatch-Based Human Staff Activity Classification: A Use-Case Study in Internal Logistics Systems Utilizing AGVs
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Building Explainable Predictive Analytics for Location-Dependent Time-Series Data
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Daily Locomotor Movement Recognition with a Smart Insole and a Pre-defined Route Map: Towards Early Motor Dysfunction Detection
inferred← citeshttps://doi.org/10.1109/icce-tw52618.2021.9602918openalex-snapshot
Data Segmentation Methods for Activity Recognition in Ambient Assisted Living
inferred← citeshttps://doi.org/10.1109/icee56203.2022.10118238openalex-snapshot
Flexible ZnO Thin-Film Based Photosensor for Applications in Light-Induced Automation
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Leveraging Machine Learning for Disease Diagnoses Based on Wearable Devices: A Survey
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Robust Foot Motion Recognition Using Stride Detection and Weak Supervision-Based Fast Labeling
inferred← citeshttps://doi.org/10.1109/jsen.2022.3144157openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tcyb.2021.3137753openalex-snapshot
A Segmentation Scheme for Knowledge Discovery in Human Activity Spotting
inferred← citeshttps://doi.org/10.1109/tnsre.2023.3342179openalex-snapshot
Abnormal Low-Frequency Corticokinematic Coherence in Stroke: An Electroencephalography and Acceleration Study
inferred← citeshttps://doi.org/10.1155/2021/5593916openalex-snapshot
Weighted Classification of Machine Learning to Recognize Human Activities
inferred← citeshttps://doi.org/10.1161/circoutcomes.118.005114openalex-snapshot
Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data
inferred← citeshttps://doi.org/10.11648/j.jeee.20241204.12openalex-snapshot
UNNIGSA: A Unified Neural Network Approach for Enhanced Stutter Detection and Gait Recognition Analysis
inferred← citeshttps://doi.org/10.1186/s13677-026-00941-2openalex-snapshot
Resource-aware edge–cloud continuum for lightweight wearable smart-healthcare analytics
inferred← citeshttps://doi.org/10.1371/journal.pone.0261765openalex-snapshot
Classifying tasks performed by electrical line workers using a wrist-worn sensor: A data analytic approach
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Application of Machine Learning Algorithms for Asthma Management with mHealth: A Clinical Review
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Re-Enactment as a Method to Reproduce Real-World Fall Events Using Inertial Sensor Data: Development and Usability Study
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Deep Learning–Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable Sensors
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Upper-Limb Motion Recognition Based on Hybrid Feature Selection: Algorithm Development and Validation
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A Comparative Analysis of XGBoost and LightGBM Approaches for Human Activity Recognition: Speed and Accuracy Evaluation
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Predicting physical activity energy expenditure, types, and intensity using long short-term memory networks in aged 6–18 cross-stage populations
inferred← citeshttps://doi.org/10.3390/a16020077openalex-snapshot
Transfer Learning Approach for Human Activity Recognition Based on Continuous Wavelet Transform
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Human Activity Recognition: A Comparative Study of Validation Methods and Impact of Feature Extraction in Wearable Sensors
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Wearable Sensors and Artificial Intelligence for the Diagnosis of Parkinson’s Disease
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Easing Power Consumption of Wearable Activity Monitoring with Change Point Detection
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Data Gathering Techniques in WSN: A Cross-Layer View
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Objective Measurement of Posture and Movement in Young Children Using Wearable Sensors and Customised Mathematical Approaches: A Systematic Review
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