ArticleSensors (Basel, Switzerland)2020
Deep Learning-Based Upper Limb Functional Assessment Using a Single Kinect v2 Sensor.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review.JMIR aging · 2024Pooled it
- Artificial intelligence in orthopaedics: Enhanced examinations, ambient intelligence and the future of clinical practice.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Review
- Validation of Azure Kinect for upper limb kinematic assessment after arthroscopic rotator cuff repair: task-dependent accuracy and postoperative overestimation.Frontiers in bioengineering and biotechnology · 2026Article
- Analysis of Kinect-Based Human Motion Capture Accuracy Using Skeletal Cosine Similarity Metrics.Sensors (Basel, Switzerland) · 2025Article
- Efficient Limb Range of Motion Analysis from a Monocular Camera for Edge Devices.Sensors (Basel, Switzerland) · 2025Article
- Exploring Trends and Clusters in Human Posture Recognition Research: An Analysis Using CiteSpace.Sensors (Basel, Switzerland) · 2025Review
- Using deep learning to detect upper limb compensation in individuals post-stroke using consumer-grade webcams-A feasibility study.Frontiers in medicine · 2025Article
- Intrasubject Gait Variability During Stair Walking in Knee Osteoarthritis: A Kinematic and Kinetic Analysis.Applied bionics and biomechanics · 2025Article
- Emerging Innovations in Preoperative Planning and Motion Analysis in Orthopedic Surgery.Diagnostics (Basel, Switzerland) · 2024Review
- Predicting Emotion with Biosignals: A Comparison of Classification and Regression Models for Estimating Valence and Arousal Level Using Wearable Sensors.Sensors (Basel, Switzerland) · 2023Article
- A Novel Automated RGB-D Sensor-Based Measurement of Voluntary Items of the Fugl-Meyer Assessment for Upper Extremity: A Feasibility Study.Brain sciences · 2022Article
- An Improved Kinect Recognition Method for Identifying Unsafe Behaviors of Metro Passengers.Sensors (Basel, Switzerland) · 2022Article
- Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching.Sensors (Basel, Switzerland) · 2022Article
- Human Motion Tracking Using 3D Image Features with a Long Short-Term Memory Mechanism Model-An Example of Forward Reaching.Sensors (Basel, Switzerland) · 2021Article
- Placement Recommendations for Single Kinect-Based Motion Capture System in Unilateral Dynamic Motion Analysis.Healthcare (Basel, Switzerland) · 2021Article
- Detection of Postural Control in Young and Elderly Adults Using Deep and Machine Learning Methods with Joint-Node Plots.Sensors (Basel, Switzerland) · 2021Article
- Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
We develop a deep learning refined kinematic model for accurately assessing upper limb joint angles using a single Kinect v2 sensor. We train a long short-term memory recurrent neural network using a supervised machine learning architecture to compensate for the systematic error of the Kinect kinematic model, taking a marker-based three-dimensional motion capture system (3DMC) as the golden standard. A series of upper limb functional task experiments were conducted, namely hand to the contralateral shoulder, hand to mouth or drinking, combing hair, and hand to back pocket. Our deep learning-based model significantly improves the performance of a single Kinect v2 sensor for all investigated upper limb joint angles across all functional tasks. Using a single Kinect v2 sensor, our deep learning-based model could measure shoulder and elbow flexion/extension waveforms with mean CMCs >0.93 for all tasks, shoulder adduction/abduction, and internal/external rotation waveforms with mean CMCs >0.8 for most of the tasks. The mean deviations of angles at the point of target achieved and range of motion are under 5° for all investigated joint angles during all functional tasks. Compared with the 3DMC, our presented system is easier to operate and needs less laboratory space.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.