Human Activity Recognition

Follow this topic Ask about this topic

Latest papers 217

27 papers in the last four weeks, up 23% on the four weeks before. 0.2% of all new papers.

All topics

GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
May 21, 2026Zhiqing Hong, Zelong Li, Xiubin Fan +5Human Activity Recognition Domain Generalization
HKUST (GZ) Guangzhou, China · JD Logistics Beijing, China · Beijing Normal–Hong Kong Baptist University Zhuhai, China +2
DarkShake-DVS: Event-based Human Action Recognition under Low-light andShaking Camera Conditions
May 20, 2026Jiaqi Chen, Qinfu Xu, Liyuan PanEvent-Based Vision Human Activity Recognition
Beijing Institute of Technology
AMAR: Lightweight Attention-Based Multi-User Activity Recognition from Wi-Fi CSI
May 20, 2026Amirhossein Mohammadi, Hina TabassumHuman Activity Recognition Set Prediction
Department of Electrical Engineering and Computer Science York University, Toronto, ON, Canada
FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding
May 19, 2026Gueter Josmy Faure, Min-Hung Chen, Jia-Fong Yeh +2VLM Evaluation Temporal Video Grounding
National Taiwan University · Google · Independent Researcher
KAN-MLP-Mixer: A comprehensive investigation of the usage of Kolmogorov-Arnold Networks (KANs) for improving IMU-based Human Activity Recognition
May 18, 2026Mengxi Liu, Sizhen Bian, Vitor Fortes +5Human Activity Recognition Kolmogorov-Arnold Networks
DFKI, Germany · Northwestern Polytechnical University, China · DFKI +2
Visual Timelines of Police Encounters in Body-Worn Camera Footage: Operational Context and Activity Cataloging for Training and Analysis in OpenBWC
May 16, 2026Angela Srbinovska, Christopher Homan, Adrian Martin +1Human Activity Recognition Video Action Recognition
Department of Computer Science Rochester Institute of Technology Rochester, NY, USA · Office of Business Intelligence Rochester Police Department Rochester, NY, USA · School of Mathematics and Statistics Rochester Institute of Technology Rochester, NY, USA
Efficient Sensor Fusion for Gesture Recognition on Resource-Constrained Devices
May 13, 2026Pietro Bartoli, Christian Veronesi, Tommaso Bondini +2Human Activity Recognition Tiny ML
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB) Politecnico di Milano, Milan, Italy
Efficient and Adaptive Human Activity Recognition via LLM Backbones
May 12, 2026Aleksandr Bredikhin, Philippe Lalanda, German VegaHuman Activity Recognition Domain Generalization
Univ. Grenoble Alpes, France
PoseBridge: Bridging the Skeletonization Gap for Zero-Shot Skeleton-Based Action Recognition
May 12, 2026Sanghyeon Lee, Jinwoo Kim, Jong Taek LeeSkeleton-Based Action Recognition Human Activity Recognition
School of Computer Science and Engineering Kyungpook National University, Daegu, South Korea
Geospatial-Temporal Sensemaking of Remote Sensing Activity Detections with Multimodal Large Language Model
May 11, 2026David F. Ramirez, Tim Overman, Kristen Jaskie +1Remote Sensing Image Understanding Visual Question Answering
SenSIP Center, School of ECEE, Arizona State University, Tempe, Arizona, USA · Prime Solutions Group Inc, Goodyear, Arizona, USA
DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition
May 10, 2026Jiaying Lin, Shiman Wu, Jinfu Liu +2Human Activity Recognition Point Cloud Learning
State Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, China · Huazhong University of Science and Technology, Wuhan, China · DJI Technology Co., Ltd., Shenzhen, China +2
PoHAR: Understanding Hyperlocal Human Activities with Pollution Sensor Networks
May 10, 2026Prasenjit Karmakar, Karthik Reddy, Sandip ChakrabortyHuman Activity Recognition Internet of Things
Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, India.
Practical Wi-Fi-based Motion Recognition Under Variable Traffic Patterns
May 8, 2026Guolin Yin, Junqing Zhang, Guanxiong Shen +1Data Augmentation Human Activity Recognition
Centre for Wireless Innovation (CWI), School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Belfast, BT3 9DT, U.K. · School of Computer Science and Informatics, University of Liverpool, Liverpool, L69 3DR, United Kingdom · School of Cyber Science and Engineering, Southeast University, Nanjing, 210096, China
BenchHAR: Benchmarking Self-Supervised Learning for Generalizable Sensor-based Activity Recognition
May 8, 2026Yize Cai, Rui Feng, Anlan Yu +2Human Activity Recognition Self-Supervised Time Series Representation Learning
The Hong Kong University of Science and Technology (Guangzhou) · Peking University · Singapore-MIT Alliance for Research and Technology
Task-Oriented Communication for Human Action Understanding via Edge-Cloud Co-Inference
May 8, 2026Jingyi Liu, Cheng Yuan, Lijun He +2Human Activity Recognition Edge-Cloud Computing
Institute of Artificial Intelligence (TeleAI) of China Telecom, China · School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China · Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong
Neurosymbolic Framework for Concept-Driven Logical Reasoning in Skeleton-Based Human Action Recognition
May 8, 2026Talha Ilyas, Deval Mehta, Zongyuan GeSkeleton-Based Action Recognition Logical Reasoning
Department of ECSE, Faculty of Engineering, Monash University, Australia · Department of DSAI, Faculty of Information Technology, Monash University, Australia · AIM for Health Lab, Faculty of Information Technology, Monash University, Australia
Scene-Adaptive Continual Learning for CSI-based Human Activity Recognition with Mixture of Experts
May 7, 2026Wenhan Zheng, Yuyi Mao, Ivan Wang-Hei HoAdaptive Inference Human Activity Recognition
Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong · School of Computer Science and Engineering, The Macau University of Science and Technology, Macau
HumanNet: Scaling Human-centric Video Learning to One Million Hours
May 7, 2026Yufan Deng, Daquan ZhouHuman Activity Recognition Cross-Embodiment Robot Learning
DAGroup · SimpleSilicon Innovation Team Peking University
Temporal Structure Matters for Efficient Test-Time Adaptation in Wearable Human Activity Recognition
May 6, 2026Zishu Zhou, Zaipeng Xie, Xuanyao JieTest-Time Adaptation Human Activity Recognition
College of Computer Science and Software Engineering, Hohai University
SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition
May 6, 2026Naiyu Zheng, Tianlong Yu, Haochen Yin +3Multi-Agent LLM Systems Human Activity Recognition
City University of Hong Kong Hong Kong · Hubei University China · The Chinese University of Hong Kong Hong Kong +1
From Muscle Bursts to Motor Intent: Self-Supervised Token Modeling for Heterogeneous EMG
May 5, 2026Zhenghao Huang, Huilin Yao, Kaikai WangEMG-Based Gesture Recognition Human Activity Recognition
South China University of Technology
Triple Spectral Fusion for Sensor-based Human Activity Recognition
May 4, 2026Ye Zhang, Longguang Wang, Qing Gao +3Graph Signal Processing Human Activity Recognition
School of Electronics and Communication Engineering, the Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China · Aviation University of Air Force, Changchun 130012, China · College of Computer Science, Chongqing University, Chongqing 400044, China +1
Human Activity Recognition Method for Moderate Violence Detection
May 4, 2026Luis Angel Aparicio Borjas, Victor Elias Nieto, Juan Irving Vasquez +2Human Activity Recognition Video Surveillance
ESCOM-IPN, Mexico City, México · Centro de Innovación y Desarrollo Tecnológico en Cómputo, Instituto Politécnico Nacional, Mexico City, México
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
MU-SHOT-Fi: Self-Supervised Multi-User Wi-Fi Sensing with Source-free Unsupervised Domain Adaptation
May 2, 2026Ahmed Y. Radwan, Hina TabassumSource-Free Domain Adaptation Human Activity Recognition
department of Electrical Engineering and Computer Science, York University, Toronto, ON M3J 1P3, Canada
Action Motifs: Self-Supervised Hierarchical Representation of Human Body Movements
Apr 30, 2026Genki Kinoshita, Shu Nakamura, Ryo Kawahara +3Latent Action Learning Representation Learning
1Kyoto University · 2Kyoto Institute of Technology · 3RIKEN
SASI: Leveraging Sub-Action Semantics for Robust Early Action Recognition in Human-Robot Interaction
Apr 30, 2026Yongpeng Cao, Masahiro Hirano, Hyuno Kim +1Skeleton-Based Action Recognition Human Activity Recognition
Institute of Industrial Science, The University of Tokyo, Japan · Interfaculty Initiative in Information Studies, Graduate School of Interdisciplinary Information Studies, The University of Tokyo, Japan
Student Classroom Behavior Recognition Based on Improved YOLOv8s
Apr 30, 2026Xiang Gao, Shuai HangHuman Activity Recognition Small Object Detection
School of Physics and Information Technology Shaanxi Normal University Xi’an, 710062, China
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
HOI-aware Adaptive Network for Weakly-supervised Action Segmentation
Apr 29, 2026Runzhong Zhang, Suchen Wang, Yueqi Duan +3Temporal Action Segmentation Human Activity Recognition
1Nanyang Technological University · 2Tsinghua University · 3Beijing Jiaotong University

May 21, 2026J/K move · Enter open · S save

GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery

Zhiqing Hong, Zelong Li, Xiubin Fan, Guang Yang+4

HKUST (GZ) Guangzhou, China · JD Logistics Beijing, China · Beijing Normal–Hong Kong Baptist University Zhuhai, China+2

Human Activity Recognition Domain Generalization Cross-Domain Generalization Invariant Representation Learning

Open paper AskPDF arXiv

Human Activity Recognition (HAR) has shown remarkable effectiveness in various applications, such as smart healthcare and intelligent manufacturing. However, a major challenge faced by HAR is the distribution shift across different sensor data domains, which often leads to decreased performance when deployed for real-world applications. To address this issue, this paper introduces GenHAR, a novel framework designed to mitigate the domain gap by learning domain-invariant sensor representations. GenHAR aims to enhance the generalization capabilities of HAR on target domains purely with data from the source domain. The key novelty of GenHAR lies in two aspects. Firstly, GenHAR tokenizes sensor data and learns correlations among frequency sensor channel dimensions to improve the robustness of HAR models. Secondly, GenHAR improves the efficiency via selective masking and an efficient attention mechanism. We conduct a systematic analysis of GenHAR by comparing it with state-of-the-art HAR methods on real-world human activity datasets. Results show that GenHAR outperforms state-of-the-art methods by 9.97% in accuracy, and reduces Floating Point Operations by 6.4 times. Moreover, we deploy GenHAR at a leading logistics company in 4 cities, and have detected 2.15 billion real-time activities. We release our code at: https://github.com/Sensor-FoundationModel/GenHAR.