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Fallen People Detection Capabilities Using Assistive Robot
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Microsoft COCO: Common Objects in Context
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SSD: Single Shot MultiBox Detector
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A Video-based Algorithm for Elderly Fall Detection
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Epipolar geometry for panoramic cameras
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Simultaneous localization and odometry self calibration for mobile robot
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Fall detection system using Kinect’s infrared sensor
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Human fall detection on embedded platform using depth maps and wireless accelerometer
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Vision-based pest detection based on SVM classification method
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A fall detection system using k-nearest neighbor classifier
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Fall monitoring and detection for at-risk persons using a UAV
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A comparison of public datasets for acceleration-based fall detection
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Review of fall detection techniques: A data availability perspective
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A survey on fall detection: Principles and approaches
inferredcites →https://doi.org/10.1016/j.procs.2015.08.250openalex-snapshot
A Mobile Robot for Fall Detection for Elderly-Care
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Real-time foreground–background segmentation using codebook model
inferredcites →https://doi.org/10.1016/s0169-7439(02)00046-1openalex-snapshot
A flexible classification approach with optimal generalisation performance: support vector machines
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A Tutorial on Support Vector Machines for Pattern Recognition
inferredcites →https://doi.org/10.1093/ageing/afl084openalex-snapshot
Falls in older people: epidemiology, risk factors and strategies for prevention
inferredcites →https://doi.org/10.1109/ainaw.2007.181openalex-snapshot
Fall Detection from Human Shape and Motion History Using Video Surveillance
inferredcites →https://doi.org/10.1109/cvpr.2006.301openalex-snapshot
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot
YOLO9000: Better, Faster, Stronger
inferredcites →https://doi.org/10.1109/embc.2013.6611223openalex-snapshot
Quantitative analysis of the fall-risk assessment test with wearable inertia sensors
inferredcites →https://doi.org/10.1109/icinfa.2016.7831793openalex-snapshot
Falling detection of lonely elderly people based on NAO humanoid robot
inferredcites →https://doi.org/10.1109/icpr.2004.1333768openalex-snapshot
Activity summarisation and fall detection in a supportive home environment
inferredcites →https://doi.org/10.1109/iembs.2007.4352627openalex-snapshot
Fall detection - Principles and Methods
inferredcites →https://doi.org/10.1109/iros.2017.8206276openalex-snapshot
Fast and robust detection of fallen people from a mobile robot
inferredcites →https://doi.org/10.1109/jbhi.2014.2312180openalex-snapshot
Fall Detection in Homes of Older Adults Using the Microsoft Kinect
inferredcites →https://doi.org/10.1109/tbme.2009.2030171openalex-snapshot
A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound—Proof of Concept on Human Mimicking Doll Falls
inferredcites →https://doi.org/10.1109/tcsvt.2011.2129370openalex-snapshot
Robust Video Surveillance for Fall Detection Based on Human Shape Deformation
inferredcites →https://doi.org/10.1109/titb.2009.2033673openalex-snapshot
A Wearable Airbag to Prevent Fall Injuries
inferredcites →https://doi.org/10.1109/tnsre.2010.2070807openalex-snapshot
Barometric Pressure and Triaxial Accelerometry-Based Falls Event Detection
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1117/1.jei.22.4.041106openalex-snapshot
Optimized spatio-temporal descriptors for real-time fall detection: comparison of support vector machine and Adaboost-based classification
inferredcites →https://doi.org/10.1145/2769493.2769540openalex-snapshot
A survey on vision-based fall detection
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1186/1475-925x-12-66openalex-snapshot
Challenges, issues and trends in fall detection systems
inferredcites →https://doi.org/10.15607/rss.2011.vii.044openalex-snapshot
Lying Pose Recognition for Elderly Fall Detection
inferredcites →https://doi.org/10.3233/ais-160369openalex-snapshot
Camera-based fall detection using real-world versus simulated data: How far are we from the solution?
inferredcites →https://doi.org/10.3390/s150714887openalex-snapshot
Vision and Control for UAVs: A Survey of General Methods and of Inexpensive Platforms for Infrastructure Inspection
inferredcites →https://doi.org/10.3390/s18051613openalex-snapshot
Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review
inferredcites →https://doi.org/10.3390/s19091988openalex-snapshot
UP-Fall Detection Dataset: A Multimodal Approach
inferredcites →https://doi.org/10.48550/arxiv.1605.06409openalex-snapshot
R-FCN: Object Detection via Region-based Fully Convolutional Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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An Interpretable Machine Learning Model for Human Fall Detection Systems Using Hybrid Intelligent Models
inferred← citeshttps://doi.org/10.1007/978-3-031-32246-4_9openalex-snapshot
Technologies to Prevent Falls and Their Consequences
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Human Emergency Detection During Autonomous Hospital Transports
inferred← citeshttps://doi.org/10.1007/978-981-97-4533-3_20openalex-snapshot
Fall Detection Using Angle-Based Feature Extraction from Human Skeleton and Machine Learning Approach
inferred← citeshttps://doi.org/10.1007/s00371-026-04447-5openalex-snapshot
Motion and torso-guided frame distillation for optimized learning-based fall detection
inferred← citeshttps://doi.org/10.1007/s10489-024-05645-1openalex-snapshot
Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review
inferred← citeshttps://doi.org/10.1007/s11042-023-17190-zopenalex-snapshot
A systematic review on fall detection systems for elderly healthcare
inferred← citeshttps://doi.org/10.1007/s11069-021-04969-2openalex-snapshot
Integrated smart robot with earthquake early warning system for automated inspection and emergency response
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Fast-YOLO-FD: An improved fall detection model based on YOLOv10
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105626openalex-snapshot
Vision-based human fall detection systems using deep learning: A review
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GMDCSA-24: A dataset for human fall detection in videos
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Expression guided medical condition detection via the Multi-Medical Condition Image Dataset
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116715openalex-snapshot
RGB camera-based fallen person detection system embedded on a mobile platform
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.119242openalex-snapshot
Fallen person detection for autonomous driving
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107948openalex-snapshot
ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling
inferred← citeshttps://doi.org/10.1016/j.patrec.2021.04.008openalex-snapshot
Capturing causality and bias in human action recognition
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P-RoPE: A polar-based rotary position embedding for polar transformed images in rotation-invariant tasks
inferred← citeshttps://doi.org/10.1016/j.robot.2024.104755openalex-snapshot
Human-robot interactions in autonomous hospital transports
inferred← citeshttps://doi.org/10.1016/j.robot.2025.105165openalex-snapshot
Behavior tree generation and adaptation for a social robot control with LLMs
inferred← citeshttps://doi.org/10.1088/1361-6501/ad44c9openalex-snapshot
A falls recognition framework based on faster R-CNN and temporal action sequences that can be deployed on home service robots
inferred← citeshttps://doi.org/10.1093/comjnl/bxaf005openalex-snapshot
YOLO-fall: a YOLO-based fall detection model with high precision, shrunk size, and low latency
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Vision-Based Fall Event Detection in Complex Background Using Attention Guided Bi-Directional LSTM
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H3Net: Irregular Posture Detection by Understanding Human Character and Core Structures
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A Simple Fall Detection Scheme for Early Detection of Falls in Elderly People
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Robotic Platform for Recovering Injured People in Smart Home
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Dual-Module Vision-Based Framework for Close-Proximity Real-Time Fall Detection
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Worker Fall Detection Using Two Cameras and YOLOv8
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A Human Pose Estimation and Deep Learning Approach for Fall Detection in Healthcare Applications
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BiYO(5) - A Pioneering Approach for Vision Based Fall Detection Using Bidirectional Feature Pyramid Networks and YOLOv5
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A Lightweight Neural-Net with Assistive Mobile Robot for Human Fall Detection System
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Comparative study of YOLOv3 and YOLOv5's performances for real-time person detection
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Fall detection paradigm for embedded devices based on YOLOv8
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Smart Vision-Based Action Monitoring in Assistive Robots for Elderly Safety
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Developing a VR Simulator for Robotics Navigation and Human Robot Interactions employing Digital Twins
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Edge Computing Transformers for Fall Detection in Older Adults
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Learning to Detect Fallen People in Virtual Worlds
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Enabling Contact-free Acoustic Sensing under Device Motion
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Smart room for patient monitoring based on IoT technologies
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Fall detection algorithm based on improved YOLOv8: DEW-YOLO
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Integración ConvNeXt-YOLO mediante CVV para detectar caídas en robot social
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Evaluación de detección de caídas mediante visión computacional y radar
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A Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-Supervised Federated Learning and Robotic Vision Confirmation
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Advanced Fall Analysis for Elderly Monitoring Using Feature Fusion and CNN-LSTM: A Multi-Camera Approach
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A Double-Interactively Recurrent Fuzzy Cerebellar Model Articulation Controller Model Combined with an Improved Particle Swarm Optimization Method for Fall Detection
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Intellectual Rooms based on AmI and IoT technologies
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Development of a high-performance in-memory database architecture for intelligent video surveillance in critical patient care
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Elderly Fall Detection Based on GCN-LSTM Multi-Task Learning Using Nursing Aids Integrated with Multi-Array Flexible Tactile Sensors
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Dynamic Fall Detection Using Graph-Based Spatial Temporal Convolution and Attention Network
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Machine Learning Techniques for Assistive Robotics
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A Multimodal User Interface for an Assistive Robotic Shopping Cart
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Filling the Gap between Research and Market: Portable Architecture for an Intelligent Autonomous Wheelchair
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Evaluating the Performance of Mobile-Convolutional Neural Networks for Spatial and Temporal Human Action Recognition Analysis
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Comprehensive Review of Vision-Based Fall Detection Systems
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An Indoor-Monitoring LiDAR Sensor for Patients with Alzheimer Disease Residing in Long-Term Care Facilities
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PIPTO: Precise Inertial-Based Pipeline for Threshold-Based Fall Detection Using Three-Axis Accelerometers
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A Fallen Person Detector with a Privacy-Preserving Edge-AI Camera
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