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Upper-Limb Motion Recognition Based on Hybrid Feature Selection: Algorithm Development and Validation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A novel ensemble-based wrapper method for feature selection using extreme learning machine and genetic algorithm
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Floating search methods in feature selection
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Comparison of t -test ranking with PCA and SEPCOR feature selection for wake and stage 1 sleep pattern recognition in multichannel electroencephalograms
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Myoelectric pattern recognition of hand motions for stroke rehabilitation
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A remote quantitative Fugl-Meyer assessment framework for stroke patients based on wearable sensor networks
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Hybrid feature selection by combining filters and wrappers
inferredcites →https://doi.org/10.1016/j.eswa.2012.01.164openalex-snapshot
Daily living activity recognition based on statistical feature quality group selection
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Hybrid fast unsupervised feature selection for high-dimensional data
inferredcites →https://doi.org/10.1016/j.ijmedinf.2018.12.001openalex-snapshot
Home-based technologies for stroke rehabilitation: A systematic review
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Feature selection with multi-view data: A survey
inferredcites →https://doi.org/10.1016/j.isatra.2014.06.008openalex-snapshot
Human activity recognition based on feature selection in smart home using back-propagation algorithm
inferredcites →https://doi.org/10.1016/j.neucom.2015.01.070openalex-snapshot
A novel wrapper method for feature selection and its applications
inferredcites →https://doi.org/10.1016/j.patrec.2005.12.001openalex-snapshot
On the optimality of Naïve Bayes with dependent binary features
inferredcites →https://doi.org/10.1016/j.patrec.2016.12.008openalex-snapshot
Sequential data feature selection for human motion recognition via Markov blanket
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Mobile, social, and wearable computing and the evolution of psychological practice.
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An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression
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Feature Selection for High Dimensional Data Using Monte Carlo Tree Search
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A Generic-Driven Wrapper Embedded With Feature-Type-Aware Hybrid Bayesian Classifier for Breast Cancer Classification
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Automatic Recognition of postures and activities in stroke patients
inferredcites →https://doi.org/10.1109/jbhi.2015.2430524openalex-snapshot
A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation
inferredcites →https://doi.org/10.1109/tcbb.2012.33openalex-snapshot
A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis
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LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition
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Simultaneous Recognition and Assessment of Post-Stroke Hemiparetic Gait by Fusing Kinematic, Kinetic, and Electrophysiological Data
inferredcites →https://doi.org/10.1109/tnsre.2019.2903986openalex-snapshot
Feature Selection and Non-Linear Classifiers: Effects on Simultaneous Motion Recognition in Upper Limb
inferredcites →https://doi.org/10.1109/tpami.2005.159openalex-snapshot
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
inferredcites →https://doi.org/10.1142/s0218001417500185openalex-snapshot
Upper Limb Motion Recognition Based on LLE-ELM Method of sEMG
inferredcites →https://doi.org/10.1145/3409332openalex-snapshot
Knowledge-driven Egocentric Multimodal Activity Recognition
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Applying LDA-based pattern recognition to predict isometric shoulder and elbow torque generation in individuals with chronic stroke with moderate to severe motor impairment
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Comparison of three agility tests with male servicemembers: Edgren Side Step Test, T-Test, and Illinois Agility Test
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RANDOM FORESTS FOR CLASSIFICATION IN ECOLOGY
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Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors’ Data
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Accuracy of Samsung Gear S Smartwatch for Activity Recognition: Validation Study
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Inferring Physical Function From Wearable Activity Monitors: Analysis of Free-Living Activity Data From Patients With Knee Osteoarthritis
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A Combination of Indoor Localization and Wearable Sensor–Based Physical Activity Recognition to Assess Older Patients Undergoing Subacute Rehabilitation: Baseline Study Results
inferredcites →https://doi.org/10.2196/15981openalex-snapshot
Effectiveness of Upper Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: Systematic Review
inferredcites →https://doi.org/10.2196/17216openalex-snapshot
Development and Clinical Evaluation of a Web-Based Upper Limb Home Rehabilitation System Using a Smartwatch and Machine Learning Model for Chronic Stroke Survivors: Prospective Comparative Study
inferredcites →https://doi.org/10.2196/jmir.5891openalex-snapshot
The Effectiveness of Lower-Limb Wearable Technology for Improving Activity and Participation in Adult Stroke Survivors: A Systematic Review
inferredcites →https://doi.org/10.2196/jmir.7385openalex-snapshot
Activity Recognition for Persons With Stroke Using Mobile Phone Technology: Toward Improved Performance in a Home Setting
inferredcites →https://doi.org/10.2196/mhealth.8201openalex-snapshot
Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications
inferredcites →https://doi.org/10.3389/fnbot.2019.00031openalex-snapshot
SVM-Based Classification of sEMG Signals for Upper-Limb Self-Rehabilitation Training
inferredcites →https://doi.org/10.3390/s150102181openalex-snapshot
An Activity Recognition Model Using Inertial Sensor Nodes in a Wireless Sensor Network for Frozen Shoulder Rehabilitation Exercises
inferredcites →https://doi.org/10.3390/s16040530openalex-snapshot
MGRA: Motion Gesture Recognition via Accelerometer
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Feature Selection and Comparison of Machine Learning Algorithms in Classification of Grazing and Rumination Behaviour in Sheep
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Towards Human Activity Recognition: A Hierarchical Feature Selection Framework
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Low‐Cost Data Glove Based on Deep‐Learning‐Enhanced Flexible Multiwalled Carbon Nanotube Sensors for Real‐Time Gesture Recognition
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Machine‐learning models for shoulder rehabilitation exercises classification using a wearable system
inferred← citeshttps://doi.org/10.1109/jsen.2024.3406138openalex-snapshot
Classification of Shoulder Rehabilitation Exercises by Using Wearable Systems and Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/jtehm.2023.3282245openalex-snapshot
CNN-LSTM Model for Recognizing Video-Recorded Actions Performed in a Traditional Chinese Exercise
inferred← citeshttps://doi.org/10.1136/bmjopen-2026-117320openalex-snapshot
Combined activity-based therapy and transcutaneous spinal cord stimulation as an intensification and supplemental approach for upper limb sensorimotor recovery: a randomised controlled trial protocol for in-patients with subacute spinal cord injury
inferred← citeshttps://doi.org/10.14500/aro.11064openalex-snapshot
Classification of Different Shoulder Girdle Motions for Prosthesis Control Using a Time-Domain Feature Extraction Technique
inferred← citeshttps://doi.org/10.3390/en15062071openalex-snapshot
Manual Operation Evaluation Based on Vectorized Spatio-Temporal Graph Convolutional for Virtual Reality Training in Smart Grid
inferred← citeshttps://doi.org/10.3390/ijerph21010079openalex-snapshot
Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities
inferred← citeshttps://doi.org/10.3390/s24247973openalex-snapshot
Trends and Innovations in Wearable Technology for Motor Rehabilitation, Prediction, and Monitoring: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/s25113437openalex-snapshot
A Feasibility Study of Domain Adaptation for Exercise Intensity Recognition Based on Wearable Sensors
inferred← citeshttps://doi.org/10.3934/mbe.2023652openalex-snapshot
Research on motion recognition based on multi-dimensional sensing data and deep learning algorithms
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