Non-intrusive human fatigue assessment (Fatigue)

 

Project no.: E!11169 Fatigue

Project description:

Project aim is to develop platform with complex passive multi-level fatigue monitoring system and workability evaluation system designed in order to provide an integrated service in professional safety and health area. This monitoring and decision-making systems for everyday use with the decision and reasoning in real time across multiple application areas, such as the rehabilitation, sport and workplaces.

Project funding:

This research project is funded by the European Regional Development Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments under measure No. 01.2.2-MITA-K-702 “Promoting the Commercialisation and Internationalisation of R&D”.


Project results:

The result of research and technological decisions will be created prototype of platform with integrated mobile fatigue measurement and assessment as well as decision-making system pilot demonstrator and long term working capacity assessment and feedback recommendation software. The system will be intended for use of one person at a specific time on a daily basis. It will be able to measure the physiological parameters, to take decisions on the level of fatigue and provide recommendations for different use cases. The system will include a mini sensors, smart phone associated bracelet or wearable device for wireless data collection and transmission, and collecting information from several patients and data base for decision making.The system will have different variations depending on the use case modifications, including with or without tablet computer.

Period of project implementation: 2018-09-01 - 2021-08-31

Project coordinator: Riga Technical University

Project partners: Executive network "Vadovų Klubas", Lithuanian Sports University, Kaunas University of Technology, INTEGRIS, Ltd., VšĮ "Sveiko stuburo mokykla"

Head:
Liepa Bikulčienė

Duration:
2018 - 2021

Department:
Department of Applied Mathematics, Faculty of Mathematics and Natural Sciences

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