arXiv AI

Missingness-Conditioned Spatio-Temporal Fusion for Human Activity Recognition from Low-Quality Wearable Sensor Data

arXiv AI

Jul 28

Impute On-Demand: Adaptive Correlated Time Series Imputation for Changing Environments

arXiv:2607. 23503v1 Announce Type: cross Abstract: Internet of Things (IoT) applications generate vast amounts of Correlated Time Series (CTS) data that often contain missing values and require imputation.

By Zhichen Lai, Huan Li, Dalin Zhang, Dong Gong, Lina Yao, Christian S. Jensen

rag efficiency benchmarks

arXiv AI

Jul 21

Joint-Embedding Predictive Architecture for Sensor-based Activity Recognition

arXiv:2607. 16350v1 Announce Type: cross Abstract: Sensor-based human activity recognition (HAR) has achieved significant progressed in fully supervised learning settings.

By Mohd Halim Mohd Noor, Abdulrahman M. A. Baraka

rag benchmarks

arXiv AI

Jun 30

Memory-Augmented LSTM Autoencoder for Unsupervised Activity Recognition with IMU Sensor Fusion

arXiv:2606. 28377v1 Announce Type: cross Abstract: HAR using Inertial Measurement Unit (IMU) sensors is vital for healthcare monitoring and rehabilitation.

By Saeid Arabzadeh, Farshad Almasganj, Mohammad Mahdi Ahmadi

computer-vision

arXiv Computer Vision

Oct 15

Masked Diffusion Vision-Language Models for Temporal Action Localization

arXiv:2605.29858v3 Announce Type: replace Abstract: Temporal action localization (TAL) requires recognizing the target event and localizing its start and end times precisely in untrimmed videos. Rece...

By Fengshun Wang, Zhengbo Zhang, Zhigang Tu

llms diffusion multimodal

arXiv Machine Learning

Sep 30

An Effective, Reliable, and Robust Framework for Human Activity Recognition Using Wearable Sensors

arXiv:2609.36848v1 Announce Type: new Abstract: Human Activity Recognition (HAR) through wearable sensors greatly improves the quality of human life through its multiple applications. For HAR, multi-...

By Nafees Ahmad, Ho-fung Leung, Muhammad Adil Abid, Sadia Shakil

benchmarks

arXiv Machine Learning

Jun 5

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data

arXiv:2606. 06328v1 Announce Type: new Abstract: In healthcare, multimodal time series tasks often operate on incomplete observations in practice, for example when ECG segments are lost because electrodes detach or an entire respiratory channel is unavailable during overnight monitoring.

By Ziwen Kan, Wugeng Zheng, Tianlong Chen, Song Wang

rag diffusion multimodal benchmarks

arXiv AI

Oct 15

CHEAR: Confusion-Hierarchy Evidence-Aware Reasoning for Cost-Efficient Human Activity Recognition

arXiv:2610.15298v1 Announce Type: new Abstract: Large language models (LLMs) offer a new approach to wearable-sensor-based human activity recognition. Retrieval-augmented generation (RAG) further int...

By Xiangqing Lu, Tao Zhu, Mingxing Nie, Liming Chen

llms rag agents efficiency

arXiv Machine Learning

Oct 15

W-JEPA: Wavelet Joint-Embedding Predictive Architecture for Wearable Activity Recognition

arXiv:2610.19411v1 Announce Type: new Abstract: A major challenge in wearable device activity recognition is the heterogeneity across datasets in sensor placement, channel count, sampling rate and su...

By Yogesh Prabhu, Loki Natarajan, Jingjing Zou

rag nlp benchmarks

arXiv Machine Learning

2d ago

U-STS-LLM: A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation

arXiv:2605.11735v2 Announce Type: replace Abstract: Accurate spatio-temporal cellular traffic analysis is fundamental to the reliable operation of modern mobile networks, as it underpins load forecas...

By Yichen Zhang, Yiyang Ni, Pengcheng Xia, Jun Li, Chunguo Li

llms benchmarks safety

arXiv AI

Aug 10

Omni-modal decomposition autoencoders learn full-stack wearable disentangled representations

arXiv:2608. 07385v1 Announce Type: cross Abstract: Learning disentangled representations is a key requirement for developing versatile, general-purpose, and sustainable models in multi-modal wearable computing.

By Ioannis Ziogas, Ensieh Khazaei, Bilal Taha, Aamna Al Shehhi, Ahsan H. Khandoker, Leontios J. Hadjileontiadis, Dimitrios Hatzinakos

llms multimodal

arXiv Machine Learning

Jul 30

RAG-HAR+: Towards Cost-Efficient LLM-Based Human Activity Recognition for Edge Deployment

arXiv:2607. 26631v1 Announce Type: new Abstract: Human Activity Recognition (HAR) from wearable sensors supports applications in healthcare, rehabilitation, fitness tracking, and smart environments.

By Hansi Karunarathna, Nirhoshan Sivaroopan, Chamara Madarasingha, Anura Jayasumana, Kanchana Thilakarathna

llms rag agents efficiency benchmarks

Hugging Face Trending Papers

Jun 9

Closing the Modality Gap in Zero-Shot HAR: Contrastive Training and Separability-Optimized Prototypes on IMU Data

Zero-shot learning (ZSL) for inertial measurement unit (IMU)-based human activity recognition (HAR) faces a central challenge: bridging the gap between sensor embeddings and semantic class representations. We systematically evaluate seven configurations combining three inference methods with two training pipelines on the PAMAP2 dataset, using 14 seen and 4 unseen activity classes with subjects 108 and 109 held out for testing.

llms rag benchmarks safety

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