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Temporal Action Localization for Inertial-based Human Activity Recognition

https://doi.org/10.1145/3699770
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What this work says

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

inferredcites →https://doi.org/10.1007/11752967_16openalex-snapshot
Evaluating Performance in Continuous Context Recognition Using Event-Driven Error Characterisation
inferredcites →https://doi.org/10.1007/978-3-030-01219-9_16openalex-snapshot
Diagnosing Error in Temporal Action Detectors
inferredcites →https://doi.org/10.1007/978-3-030-58598-3_32openalex-snapshot
Bottom-Up Temporal Action Localization with Mutual Regularization
inferredcites →https://doi.org/10.1007/978-3-030-58604-1_8openalex-snapshot
Boundary Content Graph Neural Network for Temporal Action Proposal Generation
inferredcites →https://doi.org/10.1007/978-3-031-19772-7_29openalex-snapshot
ActionFormer: Localizing Moments of Actions with Transformers
inferredcites →https://doi.org/10.1007/978-3-031-20062-5_37openalex-snapshot
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning
inferredcites →https://doi.org/10.1007/978-3-031-20080-9_7openalex-snapshot
ReAct: Temporal Action Detection with Relational Queries
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_31openalex-snapshot
A Discriminative Feature Learning Approach for Deep Face Recognition
inferredcites →https://doi.org/10.1007/978-3-642-01721-6_12openalex-snapshot
Daily Routine Recognition through Activity Spotting
inferredcites →https://doi.org/10.1007/s11263-021-01531-2openalex-snapshot
Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100
inferredcites →https://doi.org/10.1016/j.cviu.2023.103692openalex-snapshot
BasicTAD: An astounding RGB-Only baseline for temporal action detection
inferredcites →https://doi.org/10.1016/j.neucom.2015.07.085openalex-snapshot
Transition-Aware Human Activity Recognition Using Smartphones
inferredcites →https://doi.org/10.1109/access.2018.2890675openalex-snapshot
InnoHAR: A Deep Neural Network for Complex Human Activity Recognition
inferredcites →https://doi.org/10.1109/access.2020.2982225openalex-snapshot
LSTM-CNN Architecture for Human Activity Recognition
inferredcites →https://doi.org/10.1109/aiiot58121.2023.10174597openalex-snapshot
TinyGraphHAR: Enhancing Human Activity Recognition With Graph Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298698openalex-snapshot
ActivityNet: A large-scale video benchmark for human activity understanding
inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-snapshot
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
inferredcites →https://doi.org/10.1109/cvpr.2019.00043openalex-snapshot
Gaussian Temporal Awareness Networks for Action Localization
inferredcites →https://doi.org/10.1109/cvpr.2019.00075openalex-snapshot
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01017openalex-snapshot
G-TAD: Sub-Graph Localization for Temporal Action Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00055openalex-snapshot
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00333openalex-snapshot
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01241openalex-snapshot
Multi-shot Temporal Event Localization: a Benchmark
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01842openalex-snapshot
Ego4D: Around the World in 3,000 Hours of Egocentric Video
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01808openalex-snapshot
TriDet: Temporal Action Detection with Relative Boundary Modeling
inferredcites →https://doi.org/10.1109/iccv.2019.00399openalex-snapshot
BMN: Boundary-Matching Network for Temporal Action Proposal Generation
inferredcites →https://doi.org/10.1109/iccv.2019.00719openalex-snapshot
Graph Convolutional Networks for Temporal Action Localization
inferredcites →https://doi.org/10.1109/iccv48922.2021.01326openalex-snapshot
Enriching Local and Global Contexts for Temporal Action Localization
inferredcites →https://doi.org/10.1109/iccv48922.2021.01327openalex-snapshot
Relaxed Transformer Decoders for Direct Action Proposal Generation
inferredcites →https://doi.org/10.1109/iccv48922.2021.01340openalex-snapshot
Video Self-Stitching Graph Network for Temporal Action Localization
inferredcites →https://doi.org/10.1109/iccv48922.2021.01348openalex-snapshot
Class Semantics-based Attention for Action Detection
inferredcites →https://doi.org/10.1109/icme46284.2020.9102850openalex-snapshot
Scale Matters: Temporal Scale Aggregation Network For Precise Action Localization In Untrimmed Videos
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489540openalex-snapshot
Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition
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.2008.4911586openalex-snapshot
Using rhythm awareness in long-term activity recognition
inferredcites →https://doi.org/10.1109/iswc.2010.5665868openalex-snapshot
ActiServ: Activity Recognition Service for mobile phones
inferredcites →https://doi.org/10.1109/msp.2015.2503881openalex-snapshot
Monitoring Activities of Daily Living in Smart Homes: Understanding human behavior
inferredcites →https://doi.org/10.1109/percom.2016.7456521openalex-snapshot
On-body localization of wearable devices: An investigation of position-aware activity recognition
inferredcites →https://doi.org/10.1109/tip.2022.3195321openalex-snapshot
End-to-End Temporal Action Detection With Transformer
inferredcites →https://doi.org/10.1109/tmc.2022.3171312openalex-snapshot
SALIENCE: An Unsupervised User Adaptation Model for Multiple Wearable Sensors Based Human Activity Recognition
inferredcites →https://doi.org/10.1145/2499621openalex-snapshot
A tutorial on human activity recognition using body-worn inertial sensors
inferredcites →https://doi.org/10.1145/2750858.2807547openalex-snapshot
Wearables in the wet lab
inferredcites →https://doi.org/10.1145/3090076openalex-snapshot
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
inferredcites →https://doi.org/10.1145/3161192openalex-snapshot
Context Recognition In-the-Wild
inferredcites →https://doi.org/10.1145/3214277openalex-snapshot
AROMA
inferredcites →https://doi.org/10.1145/3267242.3267287openalex-snapshot
On attention models for human activity recognition
inferredcites →https://doi.org/10.1145/3351244openalex-snapshot
Integrating Activity Recognition and Nursing Care Records
inferredcites →https://doi.org/10.1145/3380999openalex-snapshot
GIobalFusion
inferredcites →https://doi.org/10.1145/3381012openalex-snapshot
METIER
inferredcites →https://doi.org/10.1145/3410530.3414365openalex-snapshot
CausalBatch
inferredcites →https://doi.org/10.1145/3448083openalex-snapshot
Attend and Discriminate
inferredcites →https://doi.org/10.1145/3460421.3480419openalex-snapshot
Improving Deep Learning for HAR with Shallow LSTMs
inferredcites →https://doi.org/10.1145/3494961openalex-snapshot
Ubi-SleepNet
inferredcites →https://doi.org/10.1145/3534584openalex-snapshot
IF-ConvTransformer
inferredcites →https://doi.org/10.1145/3544794.3558467openalex-snapshot
TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition
inferredcites →https://doi.org/10.1145/3550331openalex-snapshot
Towards a Dynamic Inter-Sensor Correlations Learning Framework for Multi-Sensor-Based Wearable Human Activity Recognition
inferredcites →https://doi.org/10.1145/3610909openalex-snapshot
HMGAN
inferredcites →https://doi.org/10.1609/aaai.v34i07.6815openalex-snapshot
Fast Learning of Temporal Action Proposal via Dense Boundary Generator
inferredcites →https://doi.org/10.1609/aaai.v34i07.6829openalex-snapshot
Progressive Boundary Refinement Network for Temporal Action Detection
inferredcites →https://doi.org/10.1609/aaai.v36i1.19900openalex-snapshot
DCAN: Improving Temporal Action Detection via Dual Context Aggregation
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
inferredcites →https://doi.org/10.3390/s23135879openalex-snapshot
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition Using Wrist-Worn Inertial Sensors

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-032-06700-5_23openalex-snapshot
Speech-Based Robust Speaker Authentication Against Voice Conversion-Based Spoofing Attacks
inferred← citeshttps://doi.org/10.1007/978-3-032-19690-3_18openalex-snapshot
Robust Speaker Authentication System Against Replay Attacks: Perceptual Features and Models
inferred← citeshttps://doi.org/10.1007/978-3-032-35043-5_18openalex-snapshot
Assessing Occupational Physical Workload Using IoT and Human Activity Recognition
inferred← citeshttps://doi.org/10.1088/1742-6596/3180/1/012020openalex-snapshot
Summary of the Unusual Activity Recognition Challenge for Developmental Disability Support
inferred← citeshttps://doi.org/10.1109/abc68169.2026.11567203openalex-snapshot
Continuity in Localization: An Auto-Regressive Learning Framework for Nurse Tracking Using BLE
inferred← citeshttps://doi.org/10.1109/chase69719.2026.00011openalex-snapshot
From Detection to Forecasting: An Empirical Study of College Student Mental Health Using Smartphone Sensing
inferred← citeshttps://doi.org/10.1109/icpads67057.2025.11322906openalex-snapshot
IMUWatermark: A Blind and Robust Backdoor Watermark via Frequency-Domain Injection
inferred← citeshttps://doi.org/10.1109/tc.2026.3699817openalex-snapshot
Synchronization-Free Backdoor Attacks on Edge-Deployed Neural Network for IoT Systems
inferred← citeshttps://doi.org/10.1145/3715071.3750413openalex-snapshot
Label Leakage in Federated Inertial-based Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3715071.3750419openalex-snapshot
Impact of Time Discrepancies on Machine Learning Performance for Multi-Wearable Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3749521openalex-snapshot
XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses
inferred← citeshttps://doi.org/10.1371/journal.pone.0328181openalex-snapshot
A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework
inferred← citeshttps://doi.org/10.29019/enfoqueute.1266openalex-snapshot
Human Action Recognition Based on Computer Vision:A Comprehensive Review (2020-2025)
inferred← citeshttps://doi.org/10.3389/fcomp.2026.1873283openalex-snapshot
Broken time, stable models? Evaluating desynchronization robustness in wearable human activity recognition
inferred← citeshttps://doi.org/10.3390/e28080922openalex-snapshot
Adaptive Flight Maneuver Boundary Localization via Spectral Entropy-Weighted Multi-Channel Spectrogram Fusion
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