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An Automatic User-adapted Physical Activity Classification Method Using Smartphones

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What this work says

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

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
inferredcites →https://doi.org/10.1007/s10916-013-9949-0openalex-snapshot
U-Healthcare System: State-of-the-Art Review and Challenges
inferredcites →https://doi.org/10.1007/s10916-014-0095-0openalex-snapshot
Better Physical Activity Classification using Smartphone Acceleration Sensor
inferredcites →https://doi.org/10.1016/j.camwa.2013.08.026openalex-snapshot
Vectorized OpenCL implementation of numerical integration for higher order finite elements
inferredcites →https://doi.org/10.1016/j.eswa.2013.11.041openalex-snapshot
A neural-AdaBoost based facial expression recognition system
inferredcites →https://doi.org/10.1016/j.jneumeth.2014.04.021openalex-snapshot
Smart watch accelerometry for analysis and diagnosis of tremor
inferredcites →https://doi.org/10.1049/htl.2014.0091openalex-snapshot
Preliminary study on activity monitoring using an android smart‐watch
inferredcites →https://doi.org/10.1088/1741-2560/1/4/004openalex-snapshot
A new approach in the BCI research based on fractal dimension as feature and Adaboost as classifier
inferredcites →https://doi.org/10.1109/icassp.2013.6638132openalex-snapshot
Accelerating computer vision algorithms using OpenCL framework on the mobile GPU - A case study
inferredcites →https://doi.org/10.1109/icsmc.2010.5641790openalex-snapshot
A naturalistic 3D acceleration-based activity dataset & benchmark evaluations
inferredcites →https://doi.org/10.1109/ie.2013.37openalex-snapshot
Recognition of Activities of Daily Living for Smart Home Environments
inferredcites →https://doi.org/10.1109/iembs.2005.1616447openalex-snapshot
Adaboost and Support Vector Machines for White Matter Lesion Segmentation in MR Images
inferredcites →https://doi.org/10.1109/iembs.2008.4650199openalex-snapshot
Advancing from offline to online activity recognition with wearable sensors
inferredcites →https://doi.org/10.1109/iembs.2011.6090611openalex-snapshot
Design of a wearable physical activity monitoring system using mobile phones and accelerometers
inferredcites →https://doi.org/10.1109/iembs.2011.6091360openalex-snapshot
Introducing a modular activity monitoring system
inferredcites →https://doi.org/10.1109/tce.2014.6851999openalex-snapshot
Design of OpenCL framework for embedded multi-core processors
inferredcites →https://doi.org/10.1109/tsp.2013.6614027openalex-snapshot
Human activity recognition on raw sensor data via sparse approximation
inferredcites →https://doi.org/10.1145/1107548.1107591openalex-snapshot
Analyzing features for activity recognition
inferredcites →https://doi.org/10.1145/1409635.1409637openalex-snapshot
Accurate activity recognition in a home setting
inferredcites →https://doi.org/10.1145/1964897.1964918openalex-snapshot
Activity recognition using cell phone accelerometers
inferredcites →https://doi.org/10.1145/2141622.2141637openalex-snapshot
Towards global aerobic activity monitoring
inferredcites →https://doi.org/10.1145/2413097.2413148openalex-snapshot
Creating and benchmarking a new dataset for physical activity monitoring
inferredcites →https://doi.org/10.1145/2629633openalex-snapshot
Wearables
inferredcites →https://doi.org/10.1152/japplphysiol.00094.2008openalex-snapshot
Assessment of physical activity in youth
inferredcites →https://doi.org/10.1155/2013/481580openalex-snapshot
Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone
inferredcites →https://doi.org/10.2165/00007256-200232120-00004openalex-snapshot
Utility of Pedometers for Assessing Physical Activity
inferredcites →https://doi.org/10.2196/jmir.2208openalex-snapshot
Classification Accuracies of Physical Activities Using Smartphone Motion Sensors
inferredcites →https://doi.org/10.2196/jmir.2470openalex-snapshot
Comparison of Physical Activity Measures Using Mobile Phone-Based CalFit and Actigraph
inferredcites →https://doi.org/10.3390/s130405317openalex-snapshot
Classification of Sporting Activities Using Smartphone Accelerometers
inferredcites →https://doi.org/10.4108/icst.pervasivehealth.2011.245966openalex-snapshot
Continuous Functional Activity Monitoring Based on Wearable Tri-axial Accelerometer and Gyroscope
inferredcites →https://doi.org/10.4108/icst.pervasivehealth.2013.251928openalex-snapshot
Towards Robust Activity Recognition for Everyday Life: Methods and Evaluation
inferredcites →https://doi.org/10.4258/hir.2011.17.1.76openalex-snapshot
Integrated Solution for Physical Activity Monitoring Based on Mobile Phone and PC
inferredcites →https://doi.org/10.4258/hir.2014.20.1.69openalex-snapshot
Lifelog Agent for Human Activity Pattern Analysis on Health Avatar Platform

What points at this work

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

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Smart Monitoring of User and Home Environment: The Health@Home Acquisition Framework
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Comparative Study of Batch and Stream Learning for Online Smartphone-based Human Activity Recognition
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Human Activity Recognition: Trends and Challenges
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Human Activity Recognition Systems Based on Audio-Video Data Using Machine Learning and Deep Learning
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Comparison of Data-Driven Models for Cleaning eHealth Sensor Data: Use Case on ECG Signal
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Smartphone based human activity monitoring and recognition using ML and DL: a comprehensive survey
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Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring
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An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model
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A systematic review of smartphone-based human activity recognition methods for health research
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A Machine Learning Approach to Perform Physical Activity Classification Using a Sensorized Crutch Tip
inferred← citeshttps://doi.org/10.1109/access.2022.3140373openalex-snapshot
ConvAE-LSTM: Convolutional Autoencoder Long Short-Term Memory Network for Smartphone-Based Human Activity Recognition
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Attention Mechanism-Based Bidirectional Long Short-Term Memory for Cycling Activity Recognition Using Smartphones
inferred← citeshttps://doi.org/10.1109/biocas58349.2023.10388747openalex-snapshot
A Delta-Sigma Based SRAM Compute-in-Memory Macro for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/ccnc.2018.8319319openalex-snapshot
Prototype implementation of RFID based health management system with low-power ARM microcomputer
inferred← citeshttps://doi.org/10.1109/ccwc60891.2024.10427673openalex-snapshot
A Dyad-Based Mobile System to Support Older Adults and Informal Caregivers
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Resource Description Framework and Friend Of A Friend-Based Web and Mobile Applications Prototype in an Education Environment A real-time management of students academic profiles
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An efficient automatic electrocardiogram analysis method using smartphones
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Indoor Tracker and Behavior Abnormality Detection Using Time Series Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icufn.2019.8806065openalex-snapshot
Human Action Recognition based on LSTM Model using Smartphone Sensor
inferred← citeshttps://doi.org/10.1109/iemcon.2018.8615065openalex-snapshot
Physical activity classification and assessment using smartphone
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inferred← citeshttps://doi.org/10.1109/tcss.2022.3223343openalex-snapshot
CapsLSTM-Based Human Activity Recognition for Smart Healthcare With Scarce Labeled Data
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BCRAM: A Social-Network-Inspired Breast Cancer Risk Assessment Model
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Accuracy Limits of Embedded Smart Device Accelerometer Sensors
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GPU and Data Stream Learning Approaches for Online Smartphone-based Human Activity Recognition
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Mobile GPU-based implementation of automatic analysis method for long-term ECG
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Data Fusion on Motion and Magnetic Sensors embedded on Mobile Devices for the Identification of Activities of Daily Living
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Robust IoT Activity Recognition via Stochastic and Deep Learning
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Impact of Sliding Window Length in Indoor Human Motion Modes and Pose Pattern Recognition Based on Smartphone Sensors
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MODEL KLASYFIKACJI AKTYWNOŚCI NA BAZIE CZUJNIKÓW DLA SYSTEMÓW VR
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Peer Review #1 of "Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review (v0.1)"
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Peer Review #2 of "Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review (v0.1)"
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Peer Review #3 of "Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review (v0.2)"
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Pattern recognition techniques for the identification of Activities of Daily Living using mobile device accelerometer
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Mobile phone enabled mental health monitoring to enhance diagnosis for severity assessment of behaviours: a review
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