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Acceleration-based Activity Recognition of Repetitive Works with Lightweight Ordered-work Segmentation Network

https://doi.org/10.1145/3534572
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What this work says

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

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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks
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Mimic Sensors: Battery-Shaped Sensor Node for Detecting Electrical Events of Handheld Devices
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A Real-Time Algorithm for Signal Analysis with the Help of the Wavelet Transform
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Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future
inferredcites →https://doi.org/10.1016/0010-4485(87)90099-6openalex-snapshot
Proceedings of the Institution of Mechanical Engineers
inferredcites →https://doi.org/10.1016/j.inffus.2017.06.004openalex-snapshot
Multi-view stacking for activity recognition with sound and accelerometer data
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.patcog.2017.12.024openalex-snapshot
Efficient dense labelling of human activity sequences from wearables using fully convolutional networks
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Action Recognition in Manufacturing Assembly using Multimodal Sensor Fusion
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Logistics centers in the new industrial era: A proposed framework for logistics center 4.0
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Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units
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Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG
inferredcites →https://doi.org/10.1109/access.2019.2920969openalex-snapshot
Human Activity Recognition Based on Motion Sensor Using U-Net
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Deep Residual Learning for Image Recognition
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CASENet: Deep Category-Aware Semantic Edge Detection
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Panoptic Segmentation
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Proceedings 20th IEEE International Conference on Distributed Computing Systems
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InHARD - Industrial Human Action Recognition Dataset in the Context of Industrial Collaborative Robotics
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412851openalex-snapshot
Conditional-UNet: A Condition-aware Deep Model for Coherent Human Activity Recognition From Wearables
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489540openalex-snapshot
Deep Dilated Convolution on Multimodality Time Series for Human Activity Recognition
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851898openalex-snapshot
Fusion of Multiple Representations Extracted from a Single Sensor’s Data for Activity Recognition Using CNNs
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/issnip.2007.4496857openalex-snapshot
Activity recognition from on-body sensors by classifier fusion: sensor scalability and robustness
inferredcites →https://doi.org/10.1109/iswc.2007.4373775openalex-snapshot
Fusion of String-Matched Templates for Continuous Activity Recognition
inferredcites →https://doi.org/10.1109/iswc.2012.13openalex-snapshot
Introducing a New Benchmarked Dataset for Activity Monitoring
inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-snapshot
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
inferredcites →https://doi.org/10.1115/detc2020-22579openalex-snapshot
Unsupervised Method of Determining Cycle Times of Manual Assembly Processes
inferredcites →https://doi.org/10.1145/2971763.2971764openalex-snapshot
Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations
inferredcites →https://doi.org/10.1145/3123021.3123046openalex-snapshot
CNN-based sensor fusion techniques for multimodal human activity recognition
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Detecting State Changes of Indoor Everyday Objects using Wi-Fi Channel State Information
inferredcites →https://doi.org/10.1145/3265689.3265705openalex-snapshot
Deep Transfer Learning for Cross-domain Activity Recognition
inferredcites →https://doi.org/10.1145/3266157.3266214openalex-snapshot
Attribute Representation for Human Activity Recognition of Manual Order Picking 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/10.1145/3287038openalex-snapshot
Detecting Door Events Using a Smartphone via Active Sound Sensing
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Using Unobtrusive Wearable Sensors to Measure the Physiological Synchrony Between Presenters and Audience Members
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Revealing Urban Dynamics by Learning Online and Offline Behaviours Together
inferredcites →https://doi.org/10.1145/3351244openalex-snapshot
Integrating Activity Recognition and Nursing Care Records
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/10.24406/publica-fhg-386449openalex-snapshot
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inferredcites →https://doi.org/10.3390/ijgi7030081openalex-snapshot
A Generalized Model for Indoor Location Estimation Using Environmental Sound from Human Activity Recognition
inferredcites →https://doi.org/10.3390/info10080245openalex-snapshot
Human Activity Recognition for Production and Logistics—A Systematic Literature Review
inferredcites →https://doi.org/10.3390/s140609995openalex-snapshot
Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition
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/s19245524openalex-snapshot
Activity Recognition Using Wearable Physiological Measurements: Selection of Features from a Comprehensive Literature Study
inferredcites →https://doi.org/10.3390/s20154083openalex-snapshot
LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes
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Raw acceleration data with behaviour classes from two captive foxes
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Motion Classification for Analyzing the Order Picking Process using Mobile Sensors - General Concepts, Case Studies and Empirical Evaluation

What points at this work

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

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Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model
inferred← citeshttps://doi.org/10.1007/978-981-96-5220-4_6openalex-snapshot
A Hybrid Approach: Combining Deep Learning and Large Language Model for General Workplace Activity Recognition
inferred← citeshttps://doi.org/10.1007/s10462-025-11275-xopenalex-snapshot
A systematic literature review on human activity recognition using smart devices: advances, challenges, and future directions
inferred← citeshttps://doi.org/10.1016/j.jmsy.2026.09.002openalex-snapshot
PackFormer: A multimodal transformer framework with vision–language alignment for industrial work operation recognition in IoT-enabled smart logistics
inferred← citeshttps://doi.org/10.1016/j.pmcj.2022.101735openalex-snapshot
MGA-Net+: Acceleration-based packaging work recognition using motif-guided attention networks
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/csde59766.2023.10487714openalex-snapshot
Understanding Human Work Behavior by Action Segmentation Model with Feature Selection
inferred← citeshttps://doi.org/10.1109/embc40787.2023.10341137openalex-snapshot
Multi-Task Learning U-Net for Functional Shoulder Sub-Task Segmentation
inferred← citeshttps://doi.org/10.1109/mass66014.2025.00070openalex-snapshot
PreFall: Early Detection of Consecutive Fall Events with Commercial Wi-Fi Devices
inferred← citeshttps://doi.org/10.1109/mdm58254.2023.00018openalex-snapshot
Recent Trends in Sensor-based Activity Recognition
inferred← citeshttps://doi.org/10.1109/percom56429.2023.10099197openalex-snapshot
Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/percom59722.2024.10494448openalex-snapshot
OpenPack: A Large-Scale Dataset for Recognizing Packaging Works in IoT-Enabled Logistic Environments
inferred← citeshttps://doi.org/10.1109/percom64205.2025.00021openalex-snapshot
InterHandNet: Capturing Two-hand Interaction for Robust Hand-washing Activity Recognition
inferred← citeshttps://doi.org/10.1109/percom64205.2025.00036openalex-snapshot
Multilevel Transfer Learning for Complex Work Activity Recognition in Logistic Domain
inferred← citeshttps://doi.org/10.1109/percom67906.2026.11524544openalex-snapshot
A Teaching Assistant for Teacher-Student Learning: Knowledge Transfer from Skeleton to Inertial Sensing for Activity Recognition in Industrial Domains
inferred← citeshttps://doi.org/10.1109/percomworkshops56833.2023.10150305openalex-snapshot
On Training Strategies for LSTMs in Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/percomworkshops59983.2024.10503195openalex-snapshot
Preliminary Investigation of SSL for Complex Work Activity Recognition in Industrial Domain via MoIL
inferred← citeshttps://doi.org/10.1109/tmc.2023.3344125openalex-snapshot
Fall-Attention: An Attention-Based Fall Detection Method for Adjoint Activities
inferred← citeshttps://doi.org/10.1109/tmc.2024.3514736openalex-snapshot
Self-Supervised Learning for Complex Activity Recognition Through Motif Identification Learning
inferred← citeshttps://doi.org/10.1111/2041-210x.14294openalex-snapshot
Exploring deep learning techniques for wild animal behaviour classification using animal‐borne accelerometers
inferred← citeshttps://doi.org/10.1145/3550319openalex-snapshot
Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection
inferred← citeshttps://doi.org/10.1145/3657296openalex-snapshot
SigFormer: Sparse Signal-guided Transformer for Multi-modal Action Segmentation
inferred← citeshttps://doi.org/10.1145/3664647.3681664openalex-snapshot
Vi2ACT:Video-enhanced Cross-modal Co-learning with Representation Conditional Discriminator for Few-shot Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3675094.3677597openalex-snapshot
Brief Introduction of the OpenPack Dataset and Lessons Learned from Organizing Activity Recognition Challenge Using the Dataset
inferred← citeshttps://doi.org/10.1145/3714394.3754402openalex-snapshot
Preliminary Investigation of Knowledge Transfer from Skeleton to IMU for Robust Activity Recognition in Industrial Settings
inferred← citeshttps://doi.org/10.1145/3716550.3722027openalex-snapshot
EXACT: A Meta-Learning Framework for Precise Exercise Segmentation in Physical Therapy
inferred← citeshttps://doi.org/10.1145/3820253.3820284openalex-snapshot
From Sensors to Insights: Measurement Quality Considerations for Sensor Studies in Everyday Contexts
inferred← citeshttps://doi.org/10.14445/23488549/ijece-v11i2p110openalex-snapshot
A Hybrid Visionary for Unveiling Human Motion in the Face of Occlusion with Mask R-CNN, RNN, and MHT
inferred← citeshttps://doi.org/10.2299/jsp.28.137openalex-snapshot
Visualization of the Proficiency Level of Assembly Work Using Inertial and Sound Sensors
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