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| Industrial Applications |
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| Scope (role within the project, interrelation with other SPs) |
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- Development of innovative systems for hypovigilance detection and real-time prediction in a variety of applications fields and environments, based on combinations of the SP2 sensors, as well as effective hypovigilance warning systems.
- Development of new and individualised sleep management systems and sleep quality improvement schemes, combining enhanced sleep models with personalised data from the application of the new sensors (SP2), using as reference the SP1 sleep/wakefulness database.
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- Provide visions and a roadmap for future industrial applications, as well as for further sensors improvements and miniaturisation.
- Enhance safety in industrial applications by reducing the number of accidents attributed to operator's lack of alertness.
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| Objectives |
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The general objective of Subproject 4 is to integrate SP2 sensors in multisensorial systems and use them to develop human operator hypovigilance detection and prediction to promote safety, comfort and QoL and finally reduce the rate and consequcens of the industrial accidents attributed to fatigue/sleepiness. |
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| Research issues: |
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- Which physiological parameters should be monitored and how should they be correlated for hypovigilance detection? (A4.2.1)
- Which physiological and other parameters should be monitored and how should they be correlated for hypovigilance prediction? (A4.4.1-A4.4.3)
- How can sensor measured physiological data be correlated to sleep assessment and management models, in order to improve and personalise them? (WP4.3)
- How should people be warned effectively and safely in case they are drowsy? (A4.5.1)
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| Technological development issues: |
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- Development of sleep and stress detection systems for critical process operators (A4.2.2).
- Development of sleep prediction systems for critical time operations (A4.4.4).
- Development of hypovigilance warning systems (A4.5.3, A4.5.4).
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| Work plan |
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| SP4 involves three major areas. |
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The sub-project is comprised of seven work packages: |
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- Development of hypovigilance detection, prediction correlation and operator warning algorithms.
- Development of multi-sensorial systems for hypovigilance detection, prediction, sleep management and operator warning.
- Verification of the developed applications in a series of industrial Pilots and specification of future research needs.
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- WP4.1 Benchmarking of industrial applications (Leader: CERTH).
- WP4.2 Sleep detection systems (Leader: TECMIC).
- WP4.3 Sleep assessment and management (Leader: DLR).
- WP4.4 Sleep prediction systems (Leader: VTT).
- WP4.5 Hypo vigilance warning concepts, HMI definition and application framework development. (Leader: USTUTT).
- WP4.6 Industrial processes supervision Pilots (Leader: KITE).
- WP4.7 Industrial Applications Roadmap (Leader: ICCS).
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Industrial applications are of high importance for SENSATION research aim and are focused in-depth within Subproject 4 of the project. The systems developed within Subproject 4 will be verified in various application fields in different European countries, such as: |
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- Air Traffic Operators
- Traffic Management Centres
- Crane Operators
- Machine operators
- Chemical Factories
- Nuclear Power Stations
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- Aerospace Industries
- Research passenger cars
- Truck driving simulators
- Navy ships
- Civil Aviation Administrations
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The selected application areas are preliminary and can be extended according to the research findings during the life of the project to other emerging industrial areas. Beyond all dispute, the integration of the SENSATION developed sensors in industrial systems, for unobtrusive and effective monitoring, detection and prediction of operator's sleepiness will bring a sound innovation in European safety standards. |
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| Expected results |
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| The main results expected from the work of this Subproject are: |
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- Clear selection of industrial applications to be realised, and their aetiology, taking into account expected impacts, technological feasibility, cost-effectiveness and overall application viability.
- Identification of one global system or specific systems for different situations and/or applications and/or environments, able to detect human sleep, prolonged inattention and stress within few seconds of their occurrence (hypovigilance detection).
- Improved and personalised sleep management support services.
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- Real-time hypovigilance prediction system and several support algorithms for its adaptation, according to the task.
- Modular and intuitive user interface for hypovigilance warning, easily adaptable to the task and with efficiency rate over 80% and user acceptance rate over 70%.
- Full testing of developed hypovigilance detection and prediction algorithms within SP4.
- Roadmap (with actions, dates, sensor specifications) for future industrial applications, using novel micro and nano sensors (of SP2 and beyond).
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