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Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables

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What this work says

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

inferredcites →https://doi.org/10.1007/3-540-44887-x_82openalex-snapshot
Gait Analysis for Human Identification
inferredcites →https://doi.org/10.1007/978-3-319-13105-4_14openalex-snapshot
mHealthDroid: A Novel Framework for Agile Development of Mobile Health Applications
inferredcites →https://doi.org/10.1007/978-3-319-48881-3_56openalex-snapshot
Fully-Convolutional Siamese Networks for Object Tracking
inferredcites →https://doi.org/10.1007/978-3-319-49409-8_7openalex-snapshot
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
inferredcites →https://doi.org/10.1016/j.asoc.2017.09.027openalex-snapshot
Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
inferredcites →https://doi.org/10.1016/j.neucom.2015.07.085openalex-snapshot
Transition-Aware Human Activity Recognition Using Smartphones
inferredcites →https://doi.org/10.1016/j.patrec.2018.02.010openalex-snapshot
Deep learning for sensor-based activity recognition: A survey
inferredcites →https://doi.org/10.1016/j.procs.2016.04.035openalex-snapshot
A Temporal Coherence Loss Function for Learning Unsupervised Acoustic Embeddings
inferredcites →https://doi.org/10.1055/s-0038-1636855openalex-snapshot
Classification of Acceleration Waveforms during Walking by Wavelet Transform
inferredcites →https://doi.org/10.1109/btas.2010.5634532openalex-snapshot
Cell phone-based biometric identification
inferredcites →https://doi.org/10.1109/cvpr.2005.202openalex-snapshot
Learning a Similarity Metric Discriminatively, with Application to Face Verification
inferredcites →https://doi.org/10.1109/cvpr.2017.113openalex-snapshot
Temporal Convolutional Networks for Action Segmentation and Detection
inferredcites →https://doi.org/10.1109/icassp.2005.1415569openalex-snapshot
Identifying Users of Portable Devices from Gait Pattern with Accelerometers
inferredcites →https://doi.org/10.1109/icassp.2016.7472619openalex-snapshot
Deep convolutional acoustic word embeddings using word-pair side information
inferredcites →https://doi.org/10.1109/icassp17257.2015openalex-snapshot
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/icmew.2012.116openalex-snapshot
Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data
inferredcites →https://doi.org/10.1109/icsmc.2009.5346042openalex-snapshot
Activity recognition from acceleration data based on discrete consine transform and SVM
inferredcites →https://doi.org/10.1109/ijcnn.2016.7727224openalex-snapshot
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors
inferredcites →https://doi.org/10.1109/iswc.2012.13openalex-snapshot
Introducing a New Benchmarked Dataset for Activity Monitoring
inferredcites →https://doi.org/10.1109/smc.2015.525openalex-snapshot
Multi-modal Convolutional Neural Networks for Activity Recognition
inferredcites →https://doi.org/10.1142/s0218001493000339openalex-snapshot
SIGNATURE VERIFICATION USING A “SIAMESE” TIME DELAY NEURAL NETWORK
inferredcites →https://doi.org/10.1145/1964897.1964918openalex-snapshot
Activity recognition using cell phone accelerometers
inferredcites →https://doi.org/10.1145/2668332.2668359openalex-snapshot
Person identification from arbitrary position and posture using kinect
inferredcites →https://doi.org/10.1145/2802083.2808388openalex-snapshot
Recognizing new activities with limited training data
inferredcites →https://doi.org/10.1145/3267242.3267245openalex-snapshot
Wearable sensors for recognizing individuals undertaking daily activities
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/10.1155/2009/415817openalex-snapshot
Gait Recognition Using Wearable Motion Recording Sensors
inferredcites →https://doi.org/10.1609/aaai.v30i1.10350openalex-snapshot
Siamese Recurrent Architectures for Learning Sentence Similarity
inferredcites →https://doi.org/10.21437/interspeech.2016-811openalex-snapshot
Joint Learning of Speaker and Phonetic Similarities with Siamese Networks
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
inferredcites →https://doi.org/10.4108/icst.mobicase.2014.257786openalex-snapshot
Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors
inferredcites →https://doi.org/10.48550/arxiv.1509.01626openalex-snapshot
Character-level Convolutional Networks for Text Classification
inferredcites →https://doi.org/10.48550/arxiv.1609.03499openalex-snapshot
WaveNet: A Generative Model for Raw Audio
inferredcites →https://doi.org/10.48550/arxiv.1803.01271openalex-snapshot
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-36886-8_5openalex-snapshot
Towards a New Multi-tasking Learning Approach for Human Fall Detection
inferred← citeshttps://doi.org/10.1007/s11036-022-02007-4openalex-snapshot
WiPD: A Robust Framework for Phase Difference-based Activity Recognition
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132415openalex-snapshot
Deep learning for human activity recognition: A comprehensive review of architectures, performance, and challenges across five sensory datasets
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.110143openalex-snapshot
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation
inferred← citeshttps://doi.org/10.1109/comst.2024.3357591openalex-snapshot
A Systematic Review of Human Activity Recognition Based on Mobile Devices: Overview, Progress and Trends
inferred← citeshttps://doi.org/10.1109/icmla66185.2025.00049openalex-snapshot
Label-Efficient Human Activity Recognition from Wearables via Self-Supervised Representation Learning
inferred← citeshttps://doi.org/10.1109/jiot.2022.3210131openalex-snapshot
WISDOM: Wi-Fi-Based Contactless Multiuser Activity Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2024.3355163openalex-snapshot
Motion Pattern Recognition for Indoor Pedestrian Altitude Estimation Based on Inertial Sensor
inferred← citeshttps://doi.org/10.1109/jsen.2026.3684572openalex-snapshot
MPA-PDR: Improved PDR Indoor Positioning Method Under Multiple Pedestrian Activities
inferred← citeshttps://doi.org/10.1109/metroxraine66377.2025.11340498openalex-snapshot
Unintended Identification in HAR Systems: Evaluating Privacy Risks
inferred← citeshttps://doi.org/10.1109/percom53586.2022.9762387openalex-snapshot
Adversarial Deep Feature Extraction Network for User Independent Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/percomworkshops51409.2021.9430990openalex-snapshot
Image-based Activity Recognition from IMU Data
inferred← citeshttps://doi.org/10.1142/s2196888824500040openalex-snapshot
Model and Empirical Study on Multi-tasking Learning for Human Fall Detection
inferred← citeshttps://doi.org/10.1145/3460421.3480426openalex-snapshot
VIDENS: Vision-based User Identification from Inertial Sensors
inferred← citeshttps://doi.org/10.1145/3485730.3485942openalex-snapshot
UniTS
inferred← citeshttps://doi.org/10.1145/3550316openalex-snapshot
COCOA
inferred← citeshttps://doi.org/10.1145/3594739.3610677openalex-snapshot
A Framework for Designing Fair Ubiquitous Computing Systems
inferred← citeshttps://doi.org/10.1145/3631445openalex-snapshot
TS2ACT
inferred← citeshttps://doi.org/10.1145/3659597openalex-snapshot
CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining
inferred← citeshttps://doi.org/10.1145/3729467openalex-snapshot
Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
inferred← citeshttps://doi.org/10.1145/3749481openalex-snapshot
Certified Robustness against Sensor Heterogeneity in Acoustic Sensing
inferred← citeshttps://doi.org/10.1145/3770854.3783921openalex-snapshot
GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
inferred← citeshttps://doi.org/10.1145/3772318.3790463openalex-snapshot
TraceRing: Touchpad-like Pointing with a Single IMU Ring through Personalized Learning
inferred← citeshttps://doi.org/10.3390/s22051840openalex-snapshot
Improving Wearable-Based Activity Recognition Using Image Representations
inferred← citeshttps://doi.org/10.3390/s22197368openalex-snapshot
Activity-Free User Identification Using Wearables Based on Vision Techniques
inferred← citeshttps://doi.org/10.3390/s25134032openalex-snapshot
Reducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches
inferred← citeshttps://doi.org/10.48550/arxiv.2012.03598openalex-snapshot
Self-supervised Deep Learning for Reading Activity Classification
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