Paper Citation Record · LEDGER

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.14146.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.14146 v1

Coverage vector

measured 44 of 44 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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External citation measurements

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Outbound references

Observation 913690de-e4e4-403d-9362-4481557aa6e9 · outbound

This paper cites an unresolved cited work.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Unresolved cited work

Reference 1

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Observation 6dff9eef-5861-40b3-a080-b76e23f3b865 · outbound

This paper cites Traffic stress, vehicular burden and well-being: a multilevel analysis,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Traffic stress, vehicular burden and well-being: a multilevel analysis,

Reference 2

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Observation d29afc53-c697-47d7-a706-019c0d7d9037 · outbound

This paper cites Work stress and health problems of professional drivers: a hazardous formula for their safety outcomes,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Work stress and health problems of professional drivers: a hazardous formula for their safety outcomes,

Reference 3

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Observation b277417e-fa14-4d75-8884-2546d23947ed · outbound

This paper cites Signal processing and machine learning for mental health research and clinical applications [perspectives],.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Signal processing and machine learning for mental health research and clinical applications [perspectives],

Reference 4

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Observation 362d257d-11c9-4f71-85d6-6b06ce5b716a · outbound

This paper cites Multimodal features for detection of driver stress and fatigue,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Multimodal features for detection of driver stress and fatigue,

Reference 5

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Observation 7721d320-610c-4416-9066-22119a68656a · outbound

This paper cites Camera-based drowsiness reference for driver state classification under real driving conditions,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Camera-based drowsiness reference for driver state classification under real driving conditions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.379036Z

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Observation 108d54b7-7f81-40ea-ae67-9bd845445b94 · outbound

This paper cites Real-time detection of driver cognitive distraction using support vector machines,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Real-time detection of driver cognitive distraction using support vector machines,

Reference 7

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Observation df343c02-84a7-4bf3-8553-84e7a7d91be9 · outbound

This paper cites Effects of cognitive load on driving performance: The cognitive control hypothesis,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Effects of cognitive load on driving performance: The cognitive control hypothesis,

Reference 8

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Observation 25914ef2-21ab-4aa9-bafb-e5bab9ea3772 · outbound

This paper cites A multimodal dataset for various forms of distracted driving,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring A multimodal dataset for various forms of distracted driving,

Reference 9

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Observation 5e9dd542-d514-4530-93e8-8ffb1ee3a52e · outbound

This paper cites Mea- suring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Mea- suring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness,

Reference 10

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Observation 9293f476-64fd-4031-bf08-3ebce9e73450 · outbound

This paper cites Driver fatigue detection systems: A review,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Driver fatigue detection systems: A review,

Reference 11

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Observation 08cd0086-e474-42eb-b176-c3fe718d87b6 · outbound

This paper cites Daily actigraphy profiles distinguish depressive and interepisode states in bipolar disorder,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Daily actigraphy profiles distinguish depressive and interepisode states in bipolar disorder,

Reference 12

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Observation 03e1d590-2347-4506-a9d5-89e72909539c · outbound

This paper cites Self-supervised learning for human activity recognition using 700,000 person-days of wearable data,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Self-supervised learning for human activity recognition using 700,000 person-days of wearable data,

Reference 13

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Observation 5d99c15a-443c-4ff1-8e52-0cc165831e4c · outbound

This paper cites SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reference 14

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Observation f0b75e71-1d72-42c4-80c8-5583c82f397d · outbound

This paper cites Detecting stress during real-world driv- ing tasks using physiological sensors,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Detecting stress during real-world driv- ing tasks using physiological sensors,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.283496Z

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Observation 14699fd0-cf12-4a77-838c-eed838810b32 · outbound

This paper cites Classifying driver workload using physiological and driving perfor- mance data: two field studies,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Classifying driver workload using physiological and driving perfor- mance data: two field studies,

Reference 16

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Observation 08ecd554-325b-4e2a-b196-5b2e7ff302a2 · outbound

This paper cites How the autonomic nervous system and driving style change with incremental stressing conditions during simulated driving,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring How the autonomic nervous system and driving style change with incremental stressing conditions during simulated driving,

Reference 17

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Observation 3956a8b0-8e77-4edf-896d-6116bb17fdc5 · outbound

This paper cites An overview of heart rate variability metrics and norms,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring An overview of heart rate variability metrics and norms,

Reference 18

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Observation 93f3bbd4-7bfd-4eab-9e1e-32e64ff0e887 · outbound

This paper cites Stress and heart rate variability: a meta-analysis and review of the literature,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Stress and heart rate variability: a meta-analysis and review of the literature,

Reference 19

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This paper cites Heart rate dynamics for cognitive load estimation in a driving simulation task,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Heart rate dynamics for cognitive load estimation in a driving simulation task,

Reference 20

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Observation d19d4f9c-c744-4d3f-93ea-a98a0c4086e5 · outbound

This paper cites Driver’s stress detection using skin potential response signals,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Driver’s stress detection using skin potential response signals,

Reference 21

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Observation aa85cd12-f7ea-4c05-801f-442cea718ff3 · outbound

This paper cites Multimodal estimation of change points of physiological arousal during driving,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Multimodal estimation of change points of physiological arousal during driving,

Reference 22

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Observation 5eb3164d-f2bc-428c-a137-0b8a0e1b7e23 · outbound

This paper cites Boucsein, Electrodermal activity.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Boucsein, Electrodermal activity

Reference 23

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Observation 61bc93ae-1de1-4e9f-af0f-e2a9d78be4df · outbound

This paper cites The complexity of electrodermal activity is altered in mental cognitive stressors,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring The complexity of electrodermal activity is altered in mental cognitive stressors,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.219803Z

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Observation d083488d-11d1-40f7-92ab-08aff2f0c88a · outbound

This paper cites Wearable device-based system to monitor a driver’s stress, fatigue, and drowsiness,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Wearable device-based system to monitor a driver’s stress, fatigue, and drowsiness,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.212247Z

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Observation dc93059f-56a6-430c-a5da-5ee37cddb45f · outbound

This paper cites A reasoning- based framework for car driver’s stress prediction,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring A reasoning- based framework for car driver’s stress prediction,

Reference 26

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This paper cites Drowsiness detection based on the analysis of breathing rate obtained from real-time image recognition,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Drowsiness detection based on the analysis of breathing rate obtained from real-time image recognition,

Reference 27

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Observation 80c62c81-639e-4336-9a70-9a92da6328c5 · outbound

This paper cites Breathing rate complexity features for “in-the-wild.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Breathing rate complexity features for “in-the-wild

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.188364Z

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Observation e3e544c6-2c20-4bb3-b505-16045b652b05 · outbound

This paper cites Thermal infrared imaging in psychophysiology: potentialities and limits,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Thermal infrared imaging in psychophysiology: potentialities and limits,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.180996Z

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This paper cites A preliminary study on driver’s stress index using a new method based on differential skin temperature measurement,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring A preliminary study on driver’s stress index using a new method based on differential skin temperature measurement,

Reference 30

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Observation b7f84987-8f15-46bd-997f-1a4b8d7c2e48 · outbound

This paper cites Development of a facial skin temperature- based methodology for non-intrusive mental workload measurement,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Development of a facial skin temperature- based methodology for non-intrusive mental workload measurement,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.166008Z

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Observation d419ab31-19e7-47e0-8f52-dcf711f7e5df · outbound

This paper cites Eeg classification of driver mental states by deep learning,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Eeg classification of driver mental states by deep learning,

Reference 32

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Estimating Markers of Driving Stress through Multimodal Physiological Monitoring BeamNG.tech

Reference 33

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This paper cites NeuroKit2: A python toolbox for neurophysiological signal processing,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring NeuroKit2: A python toolbox for neurophysiological signal processing,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.140495Z

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Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Statistical strategies to quantify respiratory sinus arrhythmia: are commonly used metrics equivalent?

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.132969Z

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Observation afc5539a-3305-4f69-b8ca-df6ee3a3a375 · outbound

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Estimating Markers of Driving Stress through Multimodal Physiological Monitoring cvxeda: A convex optimization approach to electrodermal activity processing,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.124399Z

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Estimating Markers of Driving Stress through Multimodal Physiological Monitoring A linear model for event-related respiration responses,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.116757Z

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Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Xgboost: A scalable tree boosting system,

Reference 38

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Observation c71a9760-9a47-4f6a-a8d7-ad2c9bbc8cb1 · outbound

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Estimating Markers of Driving Stress through Multimodal Physiological Monitoring A unified approach to interpreting model predictions,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.105257Z

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Observation d8244a43-2a8a-481b-9569-9c6deea5f9ea · outbound

This paper cites Exploring the use of thermal infrared imaging in human stress re- search,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Exploring the use of thermal infrared imaging in human stress re- search,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.096613Z

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Observation 3160008c-aa12-461d-bfa4-e095a2da205d · outbound

This paper cites Understanding drivers’ stress and interactions with vehicle systems through naturalistic data analysis,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Understanding drivers’ stress and interactions with vehicle systems through naturalistic data analysis,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.088682Z

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Observation 7a4143b0-54d4-4790-8f15-bc091fb6de37 · outbound

This paper cites The proof and measurement of association between two things.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring The proof and measurement of association between two things

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.080429Z

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Observation 2a63f2df-3ba5-4c7c-89ae-b028889fa2d2 · outbound

This paper cites Professional drivers’ fatigue as a problem of the modern era,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Professional drivers’ fatigue as a problem of the modern era,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.072959Z

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Observation 8ba5834e-1738-4bfc-a966-4062a512297a · outbound

This paper cites Nasal skin temperature reveals changes in arousal levels due to time on task: An experimental thermal infrared imaging study,.

Estimating Markers of Driving Stress through Multimodal Physiological Monitoring Nasal skin temperature reveals changes in arousal levels due to time on task: An experimental thermal infrared imaging study,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:22:53.064821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.