Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information | Paper Citation Record

Observation fac2f1bb-aa9d-45f7-88a4-d6ef691aaaa7 · outbound

This paper cites Work-related muscu- loskeletal disorders in the automotive industry due to repetitive work-implications for rehabilitation,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Work-related muscu- loskeletal disorders in the automotive industry due to repetitive work-implications for rehabilitation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:42.540871Z

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Observation c8f4ede0-433b-4bb0-9ae6-96c318c18202 · outbound

This paper cites Prevalence and associated factors of work-related musculoskeletal disorders symptoms among construction workers: a cross-sectional study in south china,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Prevalence and associated factors of work-related musculoskeletal disorders symptoms among construction workers: a cross-sectional study in south china,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:42.363191Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d40a111a-889f-4e33-b8d4-4f7349e09023 · outbound

This paper cites Work-related musculoskeletal disorders: the epidemi- ologic evidence and the debate,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Work-related musculoskeletal disorders: the epidemi- ologic evidence and the debate,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:42.208018Z

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Observation a72f350e-bb3c-4d46-a156-1763e4bf1dea · outbound

This paper cites Wearable mon- itoring devices for biomechanical risk assessment at work: Current status and future challenges—a systematic review,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Wearable mon- itoring devices for biomechanical risk assessment at work: Current status and future challenges—a systematic review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:41.946545Z

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Observation d83570f6-d1eb-4933-a0fd-95ee82878f4d · outbound

This paper cites Effect of load carriage lifestyle on kinematics and kinetics of gait,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Effect of load carriage lifestyle on kinematics and kinetics of gait,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:41.733367Z

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Observation 2a05eb23-22ed-483a-8ac7-52e273377c45 · outbound

This paper cites Advances in biomechanics-based motion analysis,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Advances in biomechanics-based motion analysis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:41.625315Z

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Observation da7ad053-fdeb-4c86-afea-dcbeb07a60d1 · outbound

This paper cites Effects of load carrying techniques on gait parameters, dynamic balance, and physiological parameters during a manual material handling task,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Effects of load carrying techniques on gait parameters, dynamic balance, and physiological parameters during a manual material handling task,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:41.525226Z

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Observation 694affd4-22d3-46f4-aa29-9aa819ca4964 · outbound

This paper cites Investigation of the relationship between ironworker’s gait stability and different types of load carrying using wearable sensors,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Investigation of the relationship between ironworker’s gait stability and different types of load carrying using wearable sensors,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:41.382938Z

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Observation 953132fa-85fb-4b8c-89c9-f0b3886c4284 · outbound

This paper cites Measuring effects of two-handed side and anterior load carriage on thoracic-pelvic coordination using wearable gyroscopes,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Measuring effects of two-handed side and anterior load carriage on thoracic-pelvic coordination using wearable gyroscopes,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:41.173827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6a850beb-27c5-43b4-a363-4f2a2bdd4c8d · outbound

This paper cites Rula: a survey method for the investigation of work-related upper limb disorders,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Rula: a survey method for the investigation of work-related upper limb disorders,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:41.026138Z

Source-reported events for the cited work

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Observation a1c98f51-59b5-4418-a7c4-8f6342526fc8 · outbound

This paper cites Rapid entire body assessment (reba),.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Rapid entire body assessment (reba),

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:40.844693Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 51afd3bb-0bfd-48e6-bcc3-9a013fbc509d · outbound

This paper cites Improved reba: deep learn- ing based rapid entire body risk assessment for prevention of musculoskeletal disorders,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Improved reba: deep learn- ing based rapid entire body risk assessment for prevention of musculoskeletal disorders,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:40.657063Z

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Observation 374c3691-b5ba-402c-ba86-0d5f69e2ce11 · outbound

This paper cites Ergonomic risk assessment based on computer vision and machine learning,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Ergonomic risk assessment based on computer vision and machine learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:42.069012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9431a796-048e-4369-9e7d-00bfb0c16529 · outbound

This paper cites Wearables for monitoring and postural feedback in the work context: a scoping review,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Wearables for monitoring and postural feedback in the work context: a scoping review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:40.501194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5472d547-4bda-40e8-a302-cdae794cdc7d · outbound

This paper cites Posture risk assessment in an automotive assembly line using inertial sensors,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Posture risk assessment in an automotive assembly line using inertial sensors,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:40.349936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2326c39e-e03a-44ee-8b69-9994657d6e9f · outbound

This paper cites Wearable sensor network for biomechanical overload assessment in manual material handling,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Wearable sensor network for biomechanical overload assessment in manual material handling,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:40.152913Z

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Observation 0c2a47fa-6251-4b17-88c8-8a1565a9b825 · outbound

This paper cites Automatic ergonomic risk assess- ment using a variational deep network architecture,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Automatic ergonomic risk assess- ment using a variational deep network architecture,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:39.968327Z

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Observation 9aace5e5-9d1f-4dbc-955b-805138692bf8 · outbound

This paper cites An attention-based adap- tive spatial–temporal graph convolutional network for long-video ergonomic risk assess- ment,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information An attention-based adap- tive spatial–temporal graph convolutional network for long-video ergonomic risk assess- ment,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:39.817963Z

Source-reported events for the cited work

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Observation f1892656-c671-4e06-950b-8f29a3a89d38 · outbound

This paper cites Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:39.640558Z

Source-reported events for the cited work

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Observation 9694b8a2-73e3-4424-a30d-75315af934cf · outbound

This paper cites Classifying hazardous movements and loads during manual materials handling using accelerometers and instrumented insoles,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Classifying hazardous movements and loads during manual materials handling using accelerometers and instrumented insoles,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:39.507308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc0efc66-6c88-4b35-a354-c829eafda288 · outbound

This paper cites Lifting posture prediction with generative models for improving occupational safety,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Lifting posture prediction with generative models for improving occupational safety,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:39.272894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc2268f3-0c9f-480e-b10e-ad3afbf9d499 · outbound

This paper cites Measuring biomechanical risk in lifting load tasks through wearable system and machine-learning approach,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Measuring biomechanical risk in lifting load tasks through wearable system and machine-learning approach,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:39.122464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9736a88d-92aa-4043-80cd-9872ec60df50 · outbound

This paper cites A promising wearable solution for the practical and accurate monitoring of low back loading in manual material handling,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information A promising wearable solution for the practical and accurate monitoring of low back loading in manual material handling,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.928578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5cc139c7-aa62-45c3-a53e-02490218d6a9 · outbound

This paper cites Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.748192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9ede865d-2135-4e3c-b8f0-03f29fa0378c · outbound

This paper cites Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:31:37.968062Z

Source-reported events for the cited work

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Observation 2da013a0-f7da-4143-a3b9-1002a72a5c4c · outbound

This paper cites Multi-modal gait recognition via effective spatial-temporal feature fusion,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Multi-modal gait recognition via effective spatial-temporal feature fusion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.570403Z

Source-reported events for the cited work

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Observation 971b9039-b9d0-4f5e-bd84-54b8d3a4abac · outbound

This paper cites A multi-stage adaptive feature fusion neural network for multimodal gait recognition,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information A multi-stage adaptive feature fusion neural network for multimodal gait recognition,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.430067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4f66b060-190f-491f-94a9-cbcfcc73da8f · outbound

This paper cites A comprehensive review of gait analysis using deep learning approaches in criminal investigation,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information A comprehensive review of gait analysis using deep learning approaches in criminal investigation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.338760Z

Source-reported events for the cited work

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Observation c184c5e1-f951-490e-a1e3-abb28fdc4971 · outbound

This paper cites Auto-encoding variational bayes,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Auto-encoding variational bayes,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.309713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d4b698bc-e207-45ed-9f44-9624d7bed9f1 · outbound

This paper cites Learning structured output representation using deep conditional generative models,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Learning structured output representation using deep conditional generative models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.281663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 41fbe28d-f7d4-4518-b7c1-b9ee38de7156 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 32

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Source-reported events for the cited work

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This paper cites LXMERT: Learning Cross-Modality Encoder Representations from Transformers.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information LXMERT: Learning Cross-Modality Encoder Representations from Transformers

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:37.066056Z

Source-reported events for the cited work

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This paper cites Gaussian Error Linear Units (GELUs).

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Gaussian Error Linear Units (GELUs)

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:37.173910Z

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Unavailable: canonical work link unavailable.

Observation 1da995a8-a918-404e-bddd-a04e9d5b6a2e · outbound

This paper cites Attention is all you need,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Attention is all you need,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:37.242953Z

Source-reported events for the cited work

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This paper cites Ladder varia- tional autoencoders,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Ladder varia- tional autoencoders,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.236184Z

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Observation 87d9cc1c-3c27-4577-b584-63484928cbe9 · outbound

This paper cites Generating Sentences from a Continuous Space.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Generating Sentences from a Continuous Space

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:37.362051Z

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This paper cites Long short-term memory,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Long short-term memory,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.168634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f5799314-c5dd-416d-8c28-40291971f85a · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.150262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 708a97f2-2e0f-44d6-8b53-9d3323808170 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:37.506151Z

Source-reported events for the cited work

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Observation 7e02389e-1210-4f3b-9fa8-c86ced723d31 · outbound

This paper cites Deep time series models: A comprehensive survey and benchmark,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Deep time series models: A comprehensive survey and benchmark,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.116360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 451975fa-5d89-48c2-89b8-192c6298a081 · outbound

This paper cites Deep learning with differential privacy,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Deep learning with differential privacy,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.077221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 85276c12-7727-4530-a3b2-d02f0c8eee14 · outbound

This paper cites Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:31:37.683705Z

Source-reported events for the cited work

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Observation 3c43dbaf-cfc6-47cd-aa15-0f7891b9b2ab · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.039518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e323df78-515c-43c2-848b-404e084480ca · outbound

This paper cites Real-time adaptation for time-series signal prediction using label-aware neural processes,.

Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Real-time adaptation for time-series signal prediction using label-aware neural processes,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:31:38.004124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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