Mental State Assessment and Validation Using Personalized Physiological Biometrics

@article{Patel2018MentalSA,
  title={Mental State Assessment and Validation Using Personalized Physiological Biometrics},
  author={Aashish N. Patel and Michael D. Howard and Shane M. Roach and Aaron P. Jones and Natalie B. Bryant and Charles S. H. Robinson and V. Clark and Praveen K. Pilly},
  journal={Frontiers in Human Neuroscience},
  year={2018},
  volume={12}
}
Mental state monitoring is a critical component of current and future human-machine interfaces, including semi-autonomous driving and flying, air traffic control, decision aids, training systems, and will soon be integrated into ubiquitous products like cell phones and laptops. Current mental state assessment approaches supply quantitative measures, but their only frame of reference is generic population-level ranges. What is needed are physiological biometrics that are validated in the context… 

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References

SHOWING 1-10 OF 67 REFERENCES
Real-Time Assessment of Mental Workload Using Psychophysiological Measures and Artificial Neural Networks
TLDR
Artificial neural networks using physiological signals were used to continuously monitor, in real time, the functional state of 7 participants while they performed the Multi-Attribute Task Battery with two levels of task difficulty, and high levels of accuracy suggest that these procedures can be used to provide accurate estimates of operator functional state that can be use to provide adaptive aiding.
Unobtrusive Real-Time Monitoring of Pilot Mental Status: Development of a Test-Bed System
Abstract : The real time determination of pilot mental and physical status is a critical feature of the workload monitoring and Mindware subsystems that have been envisioned for future jet aircraft.
Detecting stress during real-world driving tasks using physiological sensors
TLDR
The results show that for most drivers studied, skin conductivity and heart rate metrics are most closely correlated with driver stress level, indicating that physiological signals can provide a metric of driver stress in future cars capable of physiological monitoring.
Neurophysiological measures of cognitive workload during human-computer interaction
TLDR
This paper reviews a long-term programme of research aimed at developing cognitive workload monitoring methods based on EEG measures and provides initial evidence for the scientific and technical feasibility of using EEG-based methods for monitoring cognitive load during human–computer interaction.
EEG-Based Estimation and Classification of Mental Fatigue
Mental fatigue was associated with increased power in frontal theta (θ) and parietal alpha (α) EEG rhythms. A statistical classifier can use these effects to model EEG-fatigue relationships
Real-Time Adaptive Automation System Based on Identification of Operator Functional State in Simulated Process Control Operations
This paper proposes a new framework for the online monitoring and adaptive control of automation in complex and safety-critical human-machine systems using psychophysiological markers relating to
Assessment of Cardiovascular Autonomic Function: Age‐related Normal Ranges and Reproducibility of Spectral Analysis, Vector Analysis, and Standard Tests of Heart Rate Variation and Blood Pressure Responses
TLDR
All indices of spectral and vector analyses of HRV are age‐dependent and have the advantage of being independent of heart rate, and RMSSD, E‐I difference, and the 30:15 ratio are not suitable for evaluation of autonomic dysfunction in diabetes.
A Surveillance System for the Recognition of Intent within Individuals and Crowds
TLDR
It is proposed that by using the motion data that immediately precedes hostile behavior, it may be possible to classify hostile intent before destructive actions take place and these hostile intent gestures can be used to assign individuals a threat assessment level and improve remote sensor monitoring.
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