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Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data

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

inferredcites →https://doi.org/10.1007/978-3-030-01246-5_7openalex-snapshot
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
inferredcites →https://doi.org/10.1007/978-3-030-01264-9_42openalex-snapshot
Exploring Visual Relationship for Image Captioning
inferredcites →https://doi.org/10.1007/978-3-319-46487-9_50openalex-snapshot
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
inferredcites →https://doi.org/10.1016/j.jpain.2010.07.002openalex-snapshot
The Prevalence of Chronic Pain in United States Adults: Results of an Internet-Based Survey
inferredcites →https://doi.org/10.1016/j.pain.2006.06.019openalex-snapshot
The influence of communication goals and physical demands on different dimensions of pain behavior
inferredcites →https://doi.org/10.1016/j.pain.2013.08.024openalex-snapshot
Development and validation of a new self-report measure of pain behaviors
inferredcites →https://doi.org/10.1016/s0005-7894(82)80001-4openalex-snapshot
Development of an observation method for assessing pain behavior in chronic low back pain patients
inferredcites →https://doi.org/10.1016/s0304-3959(01)00344-xopenalex-snapshot
Pain self-efficacy beliefs and pain behaviour. A prospective study
inferredcites →https://doi.org/10.1016/s0304-3959(99)00242-0openalex-snapshot
Fear-avoidance and its consequences in chronic musculoskeletal pain: a state of the art
inferredcites →https://doi.org/10.1080/07370024.2015.1085310openalex-snapshot
Go-with-the-Flow: Tracking, Analysis and Sonification of Movement and Breathing to Build Confidence in Activity Despite Chronic Pain
inferredcites →https://doi.org/10.1098/rstb.2009.0190openalex-snapshot
Why bodies? Twelve reasons for including bodily expressions in affective neuroscience
inferredcites →https://doi.org/10.1109/acii.2019.8925508openalex-snapshot
Automatic Recognition of Multiple Affective States in Virtual Rehabilitation by Exploiting the Dependency Relationships
inferredcites →https://doi.org/10.1109/acii.2019.8925521openalex-snapshot
Analysis of cognitive states during bodily exploration of mathematical concepts in visually impaired children
inferredcites →https://doi.org/10.1109/aciiw.2019.8925084openalex-snapshot
Learning Temporal and Bodily Attention in Protective Movement Behavior Detection
inferredcites →https://doi.org/10.1109/cvpr.2012.6247813openalex-snapshot
Mining actionlet ensemble for action recognition with depth cameras
inferredcites →https://doi.org/10.1109/cvpr.2015.7299176openalex-snapshot
Modeling video evolution for action recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.115openalex-snapshot
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
inferredcites →https://doi.org/10.1109/cvpr.2016.580openalex-snapshot
Learning Deep Representation for Imbalanced Classification
inferredcites →https://doi.org/10.1109/cvpr.2017.391openalex-snapshot
Global Context-Aware Attention LSTM Networks for 3D Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.486openalex-snapshot
A New Representation of Skeleton Sequences for 3D Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00132openalex-snapshot
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00371openalex-snapshot
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00810openalex-snapshot
Skeleton-Based Action Recognition With Directed Graph Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00949openalex-snapshot
Class-Balanced Loss Based on Effective Number of Samples
inferredcites →https://doi.org/10.1109/cvpr.2019.01150openalex-snapshot
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
inferredcites →https://doi.org/10.1109/fg.2013.6553796openalex-snapshot
Can body expressions contribute to automatic depression analysis?
inferredcites →https://doi.org/10.1109/iccv.2017.115openalex-snapshot
Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/inss.2010.5573462openalex-snapshot
Collecting complex activity datasets in highly rich networked sensor environments
inferredcites →https://doi.org/10.1109/iswc.2012.13openalex-snapshot
Introducing a New Benchmarked Dataset for Activity Monitoring
inferredcites →https://doi.org/10.1109/mprv.2008.40openalex-snapshot
Wearable Activity Tracking in Car Manufacturing
inferredcites →https://doi.org/10.1109/ro-man46459.2019.8956444openalex-snapshot
Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/t-affc.2012.16openalex-snapshot
Affective Body Expression Perception and Recognition: A Survey
inferredcites →https://doi.org/10.1109/t-affc.2013.29openalex-snapshot
Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation
inferredcites →https://doi.org/10.1109/taffc.2015.2462830openalex-snapshot
The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset
inferredcites →https://doi.org/10.1109/taffc.2018.2798576openalex-snapshot
Human Observer and Automatic Assessment of Movement Related Self-Efficacy in Chronic Pain: From Exercise to Functional Activity
inferredcites →https://doi.org/10.1109/taffc.2020.2978069openalex-snapshot
Automatic Detection of Reflective Thinking in Mathematical Problem Solving Based on Unconstrained Bodily Exploration
inferredcites →https://doi.org/10.1109/tpami.2016.2522398openalex-snapshot
Human Pose Estimation from Video and IMUs
inferredcites →https://doi.org/10.1109/wacv.2017.24openalex-snapshot
On Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks
inferredcites →https://doi.org/10.1145/1966394.1966397openalex-snapshot
Motion reconstruction using sparse accelerometer data
inferredcites →https://doi.org/10.1145/2212776.2223816openalex-snapshot
User needs for technology supporting physical activity in chronic pain
inferredcites →https://doi.org/10.1145/2556288.2557268openalex-snapshot
Motivating people with chronic pain to do physical activity
inferredcites →https://doi.org/10.1145/2971763.2971764openalex-snapshot
Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations
inferredcites →https://doi.org/10.1145/3025453.3025947openalex-snapshot
Supporting Everyday Function in Chronic Pain Using Wearable Technology
inferredcites →https://doi.org/10.1145/3090076openalex-snapshot
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
inferredcites →https://doi.org/10.1145/3136755.3136817openalex-snapshot
Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks
inferredcites →https://doi.org/10.1145/3267242.3267286openalex-snapshot
Understanding and improving recurrent networks for human activity recognition by continuous attention
inferredcites →https://doi.org/10.1145/3267242.3267287openalex-snapshot
On attention models for human activity recognition
inferredcites →https://doi.org/10.1145/3292500.3330701openalex-snapshot
Optuna
inferredcites →https://doi.org/10.1145/3299095openalex-snapshot
How Can Affect Be Detected and Represented in Technological Support for Physical Rehabilitation?
inferredcites →https://doi.org/10.1145/3314388openalex-snapshot
mORAL
inferredcites →https://doi.org/10.1145/3314399openalex-snapshot
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers
inferredcites →https://doi.org/10.1145/3341163.3347728openalex-snapshot
Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data
inferredcites →https://doi.org/10.1145/3341163.3347730openalex-snapshot
Transfer learning across human activities using a cascade neural network architecture
inferredcites →https://doi.org/10.1145/3341163.3347731openalex-snapshot
Remote monitoring of stroke patients' rehabilitation using wearable accelerometers
inferredcites →https://doi.org/10.1145/3341163.3347744openalex-snapshot
Handling annotation uncertainty in human activity recognition
inferredcites →https://doi.org/10.1145/3351228openalex-snapshot
Leveraging Active Learning and Conditional Mutual Information to Minimize Data Annotation in Human Activity Recognition
inferredcites →https://doi.org/10.1371/journal.pone.0118432openalex-snapshot
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
inferredcites →https://doi.org/10.1371/journal.pone.0247364openalex-snapshot
A dataset of human and robot approach behaviors into small free-standing conversational groups
inferredcites →https://doi.org/10.1609/aaai.v32i1.12328openalex-snapshot
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
inferredcites →https://doi.org/10.1609/aaai.v34i02.5490openalex-snapshot
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
inferredcites →https://doi.org/10.3390/s17112560openalex-snapshot
The Development of an IMU Integrated Clothes for Postural Monitoring Using Conductive Yarn and Interconnecting Technology
inferredcites →https://doi.org/10.4108/icst.pervasivehealth.2015.259501openalex-snapshot
Roles for Personal Informatics in Chronic Pain

What points at this work

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

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Guarding and flow in the movements of people with chronic pain: A qualitative study of physiotherapists’ observations
inferred← citeshttps://doi.org/10.1007/978-3-031-39539-0_13openalex-snapshot
Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110954openalex-snapshot
A deep local-temporal architecture with attention for lightweight human activity recognition
inferred← citeshttps://doi.org/10.1016/j.neubiorev.2021.08.014openalex-snapshot
Bridging the gap between emotion and joint action
inferred← citeshttps://doi.org/10.1109/acii55700.2022.9953831openalex-snapshot
EmoPain(at)Home: Dataset and Automatic Assessment within Functional Activity for Chronic Pain Rehabilitation
inferred← citeshttps://doi.org/10.1109/acii55700.2022.9953851openalex-snapshot
Exploring Multimodal Fusion for Continuous Protective Behavior Detection
inferred← citeshttps://doi.org/10.1109/acii59096.2023.10388086openalex-snapshot
FabricTouch: A Multimodal Fabric Assessment Touch Gesture Dataset to Slow Down Fast Fashion
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The AffectMove 2021 Challenge - Affect Recognition from Naturalistic Movement Data
inferred← citeshttps://doi.org/10.1109/aciiw52867.2021.9666417openalex-snapshot
Comparison of Deep Learning Approaches for Protective Behaviour Detection Under Class Imbalance from MoCap and EMG data
inferred← citeshttps://doi.org/10.1109/aciiw52867.2021.9666428openalex-snapshot
Keep it Simple: Handcrafting Feature and Tuning Random Forests and XGBoost to face the Affective Movement Recognition Challenge 2021
inferred← citeshttps://doi.org/10.1109/aciiw52867.2021.9666442openalex-snapshot
Task-based Classification of Reflective Thinking Using Mixture of Classifiers
inferred← citeshttps://doi.org/10.1109/aciiw63320.2024.00056openalex-snapshot
Advancing Pain Recognition Through Statistical Correlation-Driven Multimodal Fusion
inferred← citeshttps://doi.org/10.1109/aciiw71585.2026.11712104openalex-snapshot
AI4Pain2026 Challenge on Automatic Pain Assessment from Body Movement
inferred← citeshttps://doi.org/10.1109/fg61629.2025.11099310openalex-snapshot
CauSkelNet: Causal Representation Learning for Human Behaviour Analysis
inferred← citeshttps://doi.org/10.1109/icoiact55506.2022.9972095openalex-snapshot
Unsupervised Feature Learning in Activity Recognition using Convolutional Denoising Autoencoders with Squeeze and Excitation Networks
inferred← citeshttps://doi.org/10.1109/jiot.2025.3555799openalex-snapshot
VirtualHAR: Virtual Sensing Device and Correlation-Based Learning Approach for Multiwearable Sensing Device-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2025.3540415openalex-snapshot
L-SFAN: Lightweight Spatially Focused Attention Network for Pain Behavior Detection
inferred← citeshttps://doi.org/10.1109/jstsp.2023.3262358openalex-snapshot
Pain Level and Pain-Related Behaviour Classification Using GRU-Based Sparsely-Connected RNNs
inferred← citeshttps://doi.org/10.1109/mprv.2022.3160063openalex-snapshot
Stepping Into the Next Decade of Ubiquitous and Pervasive Computing: UbiComp and ISWC 2021
inferred← citeshttps://doi.org/10.1109/percom56429.2023.10099218openalex-snapshot
CHAR: Composite Head-body Activities Recognition with A Single Earable Device
inferred← citeshttps://doi.org/10.1109/taffc.2023.3334522openalex-snapshot
Movement Representation Learning for Pain Level Classification
inferred← citeshttps://doi.org/10.1109/taffc.2024.3390837openalex-snapshot
The EmoPain@Home Dataset: Capturing Pain Level and Activity Recognition for People With Chronic Pain in Their Homes
inferred← citeshttps://doi.org/10.1109/tetci.2024.3378331openalex-snapshot
GT-WHAR: A Generic Graph-Based Temporal Framework for Wearable Human Activity Recognition With Multiple Sensors
inferred← citeshttps://doi.org/10.1109/tmc.2025.3548647openalex-snapshot
CHAR: Composite Head-Body Activities Recognition With a Single Earable Device
inferred← citeshttps://doi.org/10.1109/tnsre.2025.3546682openalex-snapshot
LAST-PAIN: Learning Adaptive Spike Thresholds for Low Back Pain Biosignals Classification
inferred← citeshttps://doi.org/10.1145/3462244.3480985openalex-snapshot
Automated Assessment of Pain
inferred← citeshttps://doi.org/10.1145/3550331openalex-snapshot
Towards a Dynamic Inter-Sensor Correlations Learning Framework for Multi-Sensor-Based Wearable Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3613904.3642231openalex-snapshot
PepperPose: Full-Body Pose Estimation with a Companion Robot
inferred← citeshttps://doi.org/10.1145/3631415openalex-snapshot
Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3631445openalex-snapshot
TS2ACT
inferred← citeshttps://doi.org/10.1145/3643511openalex-snapshot
HyperHAR
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UbiPhysio
inferred← citeshttps://doi.org/10.1145/3699736openalex-snapshot
GOAT: A Generalized Cross-Dataset Activity Recognition Framework with Natural Language Supervision
inferred← citeshttps://doi.org/10.1145/3711093openalex-snapshot
Translating Emotions to Annotations: A Participant's Perspective of Physiological Emotion Data Collection
inferred← citeshttps://doi.org/10.1145/3737906.3767097openalex-snapshot
WiProt: A WiFi-RGBD Fusion System for Robust Protective Behaviour Recognition
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One Model to Fit Them All: Universal IMU-based Human Activity Recognition with LLM-assisted Cross-dataset Representation
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The RepairBot Framework: Touch-Aware Conversational Agent for Hands-on Clothes Repair
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Open-ended Human Activity Understanding via LLM-assisted Motion Decomposition and Semantic Fusion
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Effect of Telemedicine-Supported Structured Exercise Program in Patients with Chronic Low Back Pain: Study Protocol for a Randomized Controlled Trial
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Gravity Control-Based Data Augmentation Technique for Improving VR User Activity Recognition
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