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GOAT: A Generalized Cross-Dataset Activity Recognition Framework with Natural Language Supervision
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Outgoing claims: the papers this work cites, builds on, or argues with.
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MotionCLIP: Exposing Human Motion Generation to CLIP Space
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Transformer-based models to deal with heterogeneous environments in Human Activity Recognition
inferredcites →https://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
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Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
inferredcites →https://doi.org/10.1109/access.2018.2858933openalex-snapshot
The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices
inferredcites →https://doi.org/10.1109/cbd.2013.19openalex-snapshot
Human Activity Recognition Model Based on Decision Tree
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00287openalex-snapshot
Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01415openalex-snapshot
Generating Human Motion from Textual Descriptions with Discrete Representations
inferredcites →https://doi.org/10.1109/dcoss35826.2015openalex-snapshot
2015 International Conference on Distributed Computing in Sensor Systems
inferredcites →https://doi.org/10.1109/dcoss52077.2021.00019openalex-snapshot
Semi-Supervised Contrastive Learning for Human Activity Recognition
inferredcites →https://doi.org/10.1109/fmsys62467.2024.00011openalex-snapshot
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
inferredcites →https://doi.org/10.1109/icassp.2008.4517523openalex-snapshot
2008 IEEE international conference on acoustics, speech, and signal processing
inferredcites →https://doi.org/10.1109/icassp49357.2023.10095889openalex-snapshot
CLAP Learning Audio Concepts from Natural Language Supervision
inferredcites →https://doi.org/10.1109/icce-asia.2016.7804737openalex-snapshot
Human activity recognition using wearable accelerometer sensors
inferredcites →https://doi.org/10.1109/iceeict.2015.7307384openalex-snapshot
Human activity recognition from wearable sensors using extremely randomized trees
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/memea.2018.8438750openalex-snapshot
Human Activity Recognition by Wearable Sensors : Comparison of different classifiers for real-time applications
inferredcites →https://doi.org/10.1109/memea18236.2011openalex-snapshot
2011 IEEE International Symposium on Medical Measurements and Applications
inferredcites →https://doi.org/10.1109/mprv.2008.40openalex-snapshot
Wearable Activity Tracking in Car Manufacturing
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/percom19756.2012openalex-snapshot
2012 IEEE International Conference on Pervasive Computing and Communications
inferredcites →https://doi.org/10.1109/percom56429.2023.10099197openalex-snapshot
Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition
inferredcites →https://doi.org/10.1109/smartcomp58114.2023.00022openalex-snapshot
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity
inferredcites →https://doi.org/10.1109/titb.2009.2036165openalex-snapshot
Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom
inferredcites →https://doi.org/10.1109/tvcg.2003.1207443openalex-snapshot
Natural motion animation through constraining and deconstraining at will
inferredcites →https://doi.org/10.1145/2370216openalex-snapshot
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
inferredcites →https://doi.org/10.1145/2499621openalex-snapshot
A tutorial on human activity recognition using body-worn inertial sensors
inferredcites →https://doi.org/10.1145/3106426.3106526openalex-snapshot
Zero-shot human activity recognition via nonlinear compatibility based method
inferredcites →https://doi.org/10.1145/3328932openalex-snapshot
Multi-task Self-Supervised Learning for Human Activity Detection
inferredcites →https://doi.org/10.1145/3341162.3344854openalex-snapshot
Semi-supervised learning for human activity recognition using adversarial autoencoders
inferredcites →https://doi.org/10.1145/3341163.3347727openalex-snapshot
On the role of features in human activity recognition
inferredcites →https://doi.org/10.1145/3369818openalex-snapshot
Cross-Dataset Activity Recognition via Adaptive Spatial-Temporal Transfer Learning
inferredcites →https://doi.org/10.1145/3410530openalex-snapshot
Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
inferredcites →https://doi.org/10.1145/3410531.3414306openalex-snapshot
Masked reconstruction based self-supervision for human activity recognition
inferredcites →https://doi.org/10.1145/3411836openalex-snapshot
Robust Unsupervised Factory Activity Recognition with Body-worn Accelerometer Using Temporal Structure of Multiple Sensor Data Motifs
inferredcites →https://doi.org/10.1145/3463506openalex-snapshot
Contrastive Predictive Coding for Human Activity Recognition
inferredcites →https://doi.org/10.1145/3463508openalex-snapshot
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data
inferredcites →https://doi.org/10.1145/3476069openalex-snapshot
Negotiating Repairedness: How Artifacts Under Repair Become Contingently Stabilized
inferredcites →https://doi.org/10.1145/3487569openalex-snapshot
In-IDE Code Generation from Natural Language: Promise and Challenges
inferredcites →https://doi.org/10.1145/3494995openalex-snapshot
Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings
inferredcites →https://doi.org/10.1145/3534589openalex-snapshot
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition
inferredcites →https://doi.org/10.1145/3550299openalex-snapshot
Assessing the State of Self-Supervised Human Activity Recognition Using Wearables
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/10.1145/3583780openalex-snapshot
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/3583780.3615101openalex-snapshot
Unleashing the Power of Shared Label Structures for Human Activity Recognition
inferredcites →https://doi.org/10.1145/3594738.3611361openalex-snapshot
Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition
inferredcites →https://doi.org/10.1145/3594739.3610797openalex-snapshot
Unsupervised Diffusion Model for Sensor-based Human Activity Recognition
inferredcites →https://doi.org/10.1145/3631415openalex-snapshot
Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition
inferredcites →https://doi.org/10.1145/3659597openalex-snapshot
CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining
inferredcites →https://doi.org/10.1145/3672459openalex-snapshot
Self-Collaboration Code Generation via ChatGPT
inferredcites →https://doi.org/10.1145/3675095openalex-snapshot
Proceedings of the 2024 ACM International Symposium on Wearable Computers
inferredcites →https://doi.org/10.1145/3678545openalex-snapshot
IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition
inferredcites →https://doi.org/10.1177/0081175019884591openalex-snapshot
Testing Self-Report Time-Use Diaries against Objective Instruments in Real Time
inferredcites →https://doi.org/10.1249/mss.0b013e31821ece12openalex-snapshot
2011 Compendium of Physical Activities
inferredcites →https://doi.org/10.1371/journal.pone.0169649openalex-snapshot
Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study
inferredcites →https://doi.org/10.18653/v1/2022.naacl-mainopenalex-snapshot
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3389/frobt.2015.00028openalex-snapshot
A Review of Human Activity Recognition Methods
inferredcites →https://doi.org/10.3390/s151229858openalex-snapshot
Physical Human Activity Recognition Using Wearable Sensors
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/s19225043openalex-snapshot
Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition
inferredcites →https://doi.org/10.3390/s22051911openalex-snapshot
Wearable Sensor-Based Human Activity Recognition with Transformer Model
inferredcites →https://doi.org/10.3390/s24041238openalex-snapshot
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition
inferredcites →https://doi.org/10.48550/arxiv.2007.04831openalex-snapshot
n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133963openalex-snapshot
HAR-DoReMi: Optimizing data mixture for self-supervised human activity recognition across heterogeneous IMU datasets
inferred← citeshttps://doi.org/10.1101/2025.05.10.25327354openalex-snapshot
Leveraging Large Language Models for Digital Phenotyping: Detecting Depressive State Changes for Patients with Depressive Episodes
inferred← citeshttps://doi.org/10.1109/access.2025.3598088openalex-snapshot
A Review of Wearables-Based Activities of Daily Living Recognition With LLMs: Overview, Progress, and Trends
inferred← citeshttps://doi.org/10.1109/tcss.2025.3565414openalex-snapshot
Differentiable Prior-Driven Data Augmentation for Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tmc.2026.3672513openalex-snapshot
PFHAR: Practically Adopting Multi-Modal Foundation Model for Human Activity Recognition Through Edge-Cloud Collaborative Learning
inferred← citeshttps://doi.org/10.1109/tmc.2026.3723993openalex-snapshot
Learning From Decoupled Sensor Axes: Enhancing Cross-Dataset Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3711896.3736909openalex-snapshot
Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification
inferred← citeshttps://doi.org/10.1145/3770652openalex-snapshot
Large Language Model-guided Semantic Alignment for Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3789688openalex-snapshot
Wonderwall: A Virtual-to-Real Foundation Model for IMU-based HAR
inferred← citeshttps://doi.org/10.1145/3810230openalex-snapshot
Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook
inferred← citeshttps://doi.org/10.1145/3830727.3834835openalex-snapshot
Characterizing the Performance Gap in Human Activity Recognition for Older Adults
inferred← citeshttps://doi.org/10.1145/3831651openalex-snapshot
FM-FoG: A Real-Time Foundation Model-based Wearable System for Freezing-of-Gait Mitigation
inferred← citeshttps://doi.org/10.1145/3832005openalex-snapshot
ASAP: Acoustic-Semantic Alignment with Prototypes for Open-world Activity Recognition and Understanding on Glasses
inferred← citeshttps://doi.org/10.3390/app162010046openalex-snapshot
Compact and Explainable Human Activity Recognition with Boruta-RFE Feature Selection and SHAP Interpretation
inferred← citeshttps://doi.org/10.36548/jtcsst.2026.2.007openalex-snapshot
Adaptive Gated Multimodal Fusion for Robust and Generalized Human Activity Recognition
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