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A Pose Estimation-Based Fall Detection Methodology Using Artificial Intelligence Edge Computing

https://doi.org/10.1109/access.2021.3113824
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What this work says

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

inferredcites →https://doi.org/10.1007/11881223_60openalex-snapshot
Using Wearable Sensor and NMF Algorithm to Realize Ambulatory Fall Detection
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_3openalex-snapshot
DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model
inferredcites →https://doi.org/10.1007/978-3-642-04747-3_30openalex-snapshot
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
inferredcites →https://doi.org/10.1007/978-3-642-21535-3_16openalex-snapshot
Fall Detection from Depth Map Video Sequences
inferredcites →https://doi.org/10.1007/bf02351026openalex-snapshot
Evaluation of a fall detector based on accelerometers: A pilot study
inferredcites →https://doi.org/10.1007/s12652-021-03157-1openalex-snapshot
IoT-based smart healthcare video surveillance system using edge computing
inferredcites →https://doi.org/10.1016/j.asoc.2020.107040openalex-snapshot
Agent-based automated dynamic SLA negotiation framework in the cloud using the stochastic optimization approach
inferredcites →https://doi.org/10.1016/j.cmpb.2014.09.005openalex-snapshot
Human fall detection on embedded platform using depth maps and wireless accelerometer
inferredcites →https://doi.org/10.1016/j.ijhcs.2008.03.002openalex-snapshot
Older people and mobile phones: A multi-method investigation
inferredcites →https://doi.org/10.1016/j.jsr.2016.05.001openalex-snapshot
The direct costs of fatal and non-fatal falls among older adults — United States
inferredcites →https://doi.org/10.1016/j.neucom.2011.09.037openalex-snapshot
A survey on fall detection: Principles and approaches
inferredcites →https://doi.org/10.1109/access.2018.2820724openalex-snapshot
A Lightweight Encryption Method for Privacy Protection in Surveillance Videos
inferredcites →https://doi.org/10.1109/access.2018.2877890openalex-snapshot
Benchmark Analysis of Representative Deep Neural Network Architectures
inferredcites →https://doi.org/10.1109/access.2019.2946522openalex-snapshot
Fall Detection for Elderly People Using the Variation of Key Points of Human Skeleton
inferredcites →https://doi.org/10.1109/cce.2014.6916752openalex-snapshot
An analysis on human fall detection using skeleton from Microsoft kinect
inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot
MobileNetV2: Inverted Residuals and Linear Bottlenecks
inferredcites →https://doi.org/10.1109/health.2008.4600107openalex-snapshot
Approaches and principles of fall detection for elderly and patient
inferredcites →https://doi.org/10.1109/icaibd49809.2020.9137474openalex-snapshot
Fall Detection under Privacy Protection Using Multi-layer Compressed Sensing
inferredcites →https://doi.org/10.1109/icassp.1999.757548openalex-snapshot
An algorithm for centroid-based tracking of moving objects
inferredcites →https://doi.org/10.1109/iciteed.2017.8250441openalex-snapshot
Fall detection using Gaussian mixture model and principle component analysis
inferredcites →https://doi.org/10.1109/iembs.2006.260829openalex-snapshot
Monocular 3D Head Tracking to Detect Falls of Elderly People
inferredcites →https://doi.org/10.1109/inventive.2016.7824826openalex-snapshot
Automated unusual event detection in video surveillance
inferredcites →https://doi.org/10.1109/iwait.2018.8369778openalex-snapshot
Human fall-down event detection based on 2D skeletons and deep learning approach
inferredcites →https://doi.org/10.1109/jbhi.2017.2782079openalex-snapshot
Hidden Markov Model-Based Fall Detection With Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring
inferredcites →https://doi.org/10.1109/jbhi.2019.2907498openalex-snapshot
Smart Seismic Sensing for Indoor Fall Detection, Location, and Notification
inferredcites →https://doi.org/10.1109/jsen.2016.2625099openalex-snapshot
Elder Tracking and Fall Detection System Using Smart Tiles
inferredcites →https://doi.org/10.1109/jsen.2017.2778742openalex-snapshot
A Footwear-Based Methodology for Fall Detection
inferredcites →https://doi.org/10.1109/jsen.2018.2880739openalex-snapshot
FallSense: An Automatic Fall Detection and Alarm Generation System in IoT-Enabled Environment
inferredcites →https://doi.org/10.1109/jsen.2019.2891128openalex-snapshot
Elderly Fall Detection Using Wearable Sensors: A Low Cost Highly Accurate Algorithm
inferredcites →https://doi.org/10.1109/jsen.2019.2898891openalex-snapshot
Activity-Aware Fall Detection and Recognition Based on Wearable Sensors
inferredcites →https://doi.org/10.1109/jsen.2019.2918690openalex-snapshot
Development of an Enhanced Threshold-Based Fall Detection System Using Smartphones With Built-In Accelerometers
inferredcites →https://doi.org/10.1109/jsen.2020.2990609openalex-snapshot
Design and Implementation of an Intelligent Assistive System for Visually Impaired People for Aerial Obstacle Avoidance and Fall Detection
inferredcites →https://doi.org/10.1109/miltechs.2017.7988846openalex-snapshot
Indirect method to estimate distance measurement based on single visual cameras
inferredcites →https://doi.org/10.1109/platcon.2016.7456805openalex-snapshot
Long Short Term Memory Recurrent Neural Network Classifier for Intrusion Detection
inferredcites →https://doi.org/10.1109/robio.2011.6181634openalex-snapshot
A wearable wireless fall detection system with accelerators
inferredcites →https://doi.org/10.1109/sitis.2012.155openalex-snapshot
Definition and Performance Evaluation of a Robust SVM Based Fall Detection Solution
inferredcites →https://doi.org/10.1109/titb.2012.2214786openalex-snapshot
A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment
inferredcites →https://doi.org/10.1109/tnsre.2019.2911602openalex-snapshot
A Patient-Specific Single Sensor IoT-Based Wearable Fall Prediction and Detection System
inferredcites →https://doi.org/10.1109/tnsre.2019.2958679openalex-snapshot
Accurate Ambulatory Gait Analysis in Walking and Running Using Machine Learning Models
inferredcites →https://doi.org/10.1109/tpami.2019.2929257openalex-snapshot
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields
inferredcites →https://doi.org/10.1111/j.1468-0394.2007.00438.xopenalex-snapshot
A multi‐camera vision system for fall detection and alarm generation
inferredcites →https://doi.org/10.1145/2769493.2769562openalex-snapshot
Fall detection using history triple features
inferredcites →https://doi.org/10.1258/1357633054068946openalex-snapshot
An intelligent emergency response system: preliminary development and testing of automated fall detection
inferredcites →https://doi.org/10.3390/app7100993openalex-snapshot
A New Approach to Fall Detection Based on the Human Torso Motion Model
inferredcites →https://doi.org/10.3390/s141223230openalex-snapshot
Drift Removal for Improving the Accuracy of Gait Parameters Using Wearable Sensor Systems
inferredcites →https://doi.org/10.3390/s20185045openalex-snapshot
A Time Series Data Filling Method Based on LSTM—Taking the Stem Moisture as an Example
inferredcites →https://doi.org/10.3844/ajassp.2018.423.431openalex-snapshot
Elderly People Fall Detection System Using Skeleton Tracking and Recognition
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1704.04861openalex-snapshot
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
inferredcites →https://doi.org/10.5220/0007555407440748openalex-snapshot
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose

What points at this work

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

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An Efficient Skeleton-Based Fall Detection Algorithm Using Temporal Convolutional Networks with Transformer Encoder
inferred← citeshttps://doi.org/10.1007/978-3-031-19958-5_16openalex-snapshot
Fall Detection System Based on Pose Estimation in Videos
inferred← citeshttps://doi.org/10.1007/978-3-031-37717-4_73openalex-snapshot
Falling People Detection in Real Time Video Using Convolution Neural Network
inferred← citeshttps://doi.org/10.1007/978-3-031-59443-4_5openalex-snapshot
Smart Technologies for Fall Detection and Prevention
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Elderly Fall Detection Model for Patient Care Using Improvised CNN
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A Review on Fall Detection Techniques for Elderly People with Video Surveillance
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SMA-GCN: a fall detection method based on spatio-temporal relationship
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Deep learning applied for abnormal human behavior recognition in video surveillance systems: A systematic review
inferred← citeshttps://doi.org/10.1007/s11227-025-07699-5openalex-snapshot
Speed-accuracy trade-off in lightweight-based hand pose estimation
inferred← citeshttps://doi.org/10.1007/s11554-023-01377-6openalex-snapshot
A real-time fall detection model based on BlazePose and improved ST-GCN
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Center and Link: A Dual-Loss Approach for Holistic Human Pose Estimation
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AI-powered trustable and explainable fall detection system using transfer learning
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Fall detection using deep learning with features computed from recursive quadratic splits of video frames
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Accelerometer-based human fall detection using sparrow search algorithm and back propagation neural network
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A Real-time skeleton-based fall detection algorithm based on temporal convolutional networks and transformer encoder
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Fall detection based on OpenPose and MobileNetV2 network
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Advances in Skeleton-Based Fall Detection in RGB Videos: From Handcrafted to Deep Learning Approaches
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Simple Single-Person Fall Detection Model Using 3D Pose Estimation Mechanisms
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Federated Learning for Fall Detection With Multimodal Residual Fusion and Pareto-Optimized Client Selection
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Lightweight Skeleton-Based Fall Detection for Real-Time Edge Vision Systems
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EgoFall: A First-Person View Fall Detection System
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Fall Behavior Detection in Elderly People Using Improved YOLO5v5 Model
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Skeleton-Based Abnormal Behavior Detection Using Secure Partitioned Convolutional Neural Network Model
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