Wearable Sensing

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13 papers in the last four weeks, up 117% on the four weeks before. 0.1% of all new papers.

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HARMES: A Multi-Modal Dataset for Wearable Human Activity Recognition with Motion, Environmental Sensing and Sound
May 4, 2026Robin Burchard, Pascal-André Brückner, Marius Bock +2Human Activity Recognition Wearable Sensing
University of Siegen, Siegen, Germany · University of Bonn and & Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany
EduGage: A Multimodal Dataset and Benchmark for Sensor-Based Momentary Assessment of Engagement in Self-Guided Video Learning
May 2, 2026Zikang Leng, Edan Eyal, Yingtian Shi +3Wearable Sensing User Modeling
College of Computing, Georgia Institute of Technology, Atlanta, Georgia, USA · School of Computing Technologies, RMIT University, Melbourne, Australia
Introducing WARM-VR: Benchmark Dataset for Multimodal Wearable Affect Recognition in Virtual Reality
Apr 30, 2026Karim Alghoul, Faisal Mohd, Fedwa Laamarti +2Wearable Sensing Multimodal Emotion Recognition
School of Electrical Engineering and Computer Science, University of Ottawa, Canada · Computer Vision Department, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE
Leveraging Imperfect Medical Data: A Manifold-Consistent Spatio-Temporal Network for Sensor-based Human Activity Recognition
Apr 29, 2026Jiangtao Fan, Anish Jindal, Amir Atapour-AbarghoueiHuman Activity Recognition Wearable Sensing
Department of Computer Science, Durham University, Durham, DH1 3LE, UK
GEGLU-Transformer for IMU-to-EMG Estimation with Few-Shot Adaptation
Apr 28, 2026Miroljub Mihailovic, Luca Tonin, Stefano Tortora +1Transformer Wearable Sensing
Department of Information Engineering, University of Padua, 35131 Padua, Italy
PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices
Apr 28, 2026Changyu Li, Lu Wang, Ming Lei +4Test-Time Adaptation Human Activity Recognition
School of Computing and Information Technology, Great Bay University, Dongguan, China · College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China · University of Warwick, Coventry, U.K. +2
Selective Correlation Based Knowledge Distillation for Ground Reaction Force Estimation
Apr 27, 2026Eun Som Jeon, Jisoo Lee, Huisu Lim +3Gait Analysis Wearable Sensing
Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, 01811, Republic of Korea · Geometric Media Lab, School of Computing and Augmented Intelligence, Arizona State University, Tempe, 85281, AZ, USA · School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, 82587, AZ, USA +1
An Affordable, Wearable Stereo-Eye-Tracking Platform
Apr 27, 2026Alexander Zimmer, Yasmeen Abdrabou, Enkelejda KasneciWearable Sensing Eye Tracking
Human-Centered Technologies for Learning, Technical University of Munich, Munich, Germany
Decoding High-Dimensional Finger Motion from EMG Using Riemannian Features and RNNs
Apr 24, 2026Martin Colot, Cédric Simar, Guy Cheron +23D Hand Pose Estimation Neural Decoding
Machine Learning Group, ULB, Bruxelles, Belgium · § These authors contributed equally to this work and share ﬁrst authorship. · Neuromove, ULB Neuroscience Institute, ULB, Brussels, Belgium +1
An Algorithm for On-Sensor Agnostic Detection of Changes in Human Activity for Ultra-Low-Power Applications
Apr 24, 2026Sara Rimoldi, Arianna De Vecchi, Hazem Hesham Yousef Shalby +1Adaptive Inference Human Activity Recognition
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Milan, Italy
Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs
Apr 23, 2026Hao-Yu Hsu, Tianhang Cheng, Jing Wen +24D Reconstruction Wearable Sensing
University of Illinois at Urbana-Champaign
Parkinson's Disease Detection via Self-Supervised Dual-Channel Cross-Attention on Bilateral Wrist-Worn IMU Signals
Apr 20, 2026Meheru ZannatCross-Attention Self-Supervised Time Series Representation Learning
Khulna University of Engineering & Technology (KUET), Bangladesh
ActivityNarrated: An Open-Ended Narrative Paradigm for Wearable Human Activity Understanding
Apr 1, 2026Lala Shakti Swarup Ray, Mengxi Liu, Alcina Pinto +4Human Activity Recognition Cross-Modal Alignment
DFKI, Germany · RPTU
DeepFeature: LLM-Empowered Context-aware Feature Generation for Wearable Biosignals
Dec 9, 2025Kaiwei Liu, Yuting He, Bufang Yang +6Wearable Sensing Wearable Health Monitoring
The Chinese University of Hong Kong, China · The Education University of Hong Kong, China · Hong Kong Applied Science and Technology Research Institute, China +1
A Comparative Study of EMG- and IMU-based Gesture Recognition at the Wrist and Forearm
Dec 8, 2025Soroush Baghernezhad, Elaheh Mohammadreza, Vinicius Prado da Fonseca +2Human Activity Recognition Wearable Sensing
Department of Computer Science, Memorial University of Newfoundland, St. John’s, NL A1B 3X5, Canada · Department of Mechanical and Mechatronics Engineering, Memorial University of Newfoundland, St. John’s, NL A1B 3X5, Canada
A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors
Feb 3, 2025Minh Ngoc Nguyen, Khai Le-Duc, Tan-Hanh Pham +7Medical Diagnosis Mental Health
Aston University, Birmingham, UK · University of Toronto, Toronto, Canada · University Health Network, Toronto, Canada +5
State-specific respiratory signatures for affective and stress recognition: Interpretable respiratory markers, autocorrelation lags, and compact CNN models
Date pendingAndrei Velichko, Mehmet Tahir HuyutWearable Sensing Convolutional Neural Networks
Institute of Physics and Technology, Petrozavodsk State University, Petrozavodsk, Russia · Department of Biostatistics and Medical Informatics, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey

May 4, 2026, cs.LGJ/K move · Enter open · S save

HARMES: A Multi-Modal Dataset for Wearable Human Activity Recognition with Motion, Environmental Sensing and Sound

Robin Burchard, Pascal-André Brückner, Marius Bock, Juergen Gall+1

University of Siegen, Siegen, Germany · University of Bonn and & Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany

Human Activity Recognition Wearable Sensing Multimodal Sensor Fusion

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With each sensing modality exhibiting inherent strengths and limitations, multi-modal approaches for wearable Human Activity Recognition (HAR) are becoming increasingly relevant -- particularly for recognizing Activities of Daily Living (ADLs), where individual modalities often produce ambiguous signals for similar or complex activities. This work introduces HARMES, a multi-modal wearable dataset combining three wrist-recorded modalities: motion sensing via an Inertial Measurement Unit (IMU), atmospheric environmental sensors (humidity, temperature, and pressure), and audio. Collected from 20 participants performing household activities in their own homes, HARMES totals over 80 hours of recorded data, with approximately three hours of labeled activity data per participant across 15 ADL classes. To the best of our knowledge, HARMES is the first dataset to combine this particular sensor trio, and it is nearly six times larger than the previously largest wrist-inertial-acoustic HAR dataset. In an extensive benchmark, we evaluate cross-subject generalization and conduct an ablation study revealing that modality contributions are activity-dependent and can provide complementary value, particularly for activities that are ambiguous from motion data alone. HARMES is freely available at Zenodo, alongside example code for loading the dataset and training models on GitHub.

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