ESR 6. Project Host: MBRAINTRAIN

 Host institution: MBRAIN           Duration 36 Months                   

Objectives:  The subject of this ESR will deal with the usability aspects of wearables in the workplace of tomorrow. Nowadays, we have market-ready wearables that utilize physiology measurements in real-life, with additional research “look like” wearables in the pipeline that are soon expected to make it to consumer market. These wearables enable measurement of heart-rate, galvanic skin response and electroencephalography (EEG). Analyzing the output of these modalities, while keeping full worker’s privacy over his physiological data, offer insights in the mental state of the worker near real time. These include stress, vigilance levels, cognitive engagement in the task, emotions and mental workload. As such, wearables could provide critical information needed to incorporate people in the Industry 4.0 from perspectives of safety, error-free operation and mental harmony. The subject of this ESR is also connected to the question of the overall architecture of the system that will be necessary to use record and interpret physiological data  in Industry 4.0 settings for everyday tasks.

Expected Results

Define how to utilize existing and anticipated wearable physiology measurement technology without negative effects to work operation 

Define optimal strategy of deployment for sensory technology and an optimal way to use the huge amounts of data coming from these sensors. 

Candidate will need to master the aspects of data acquisition in realistic work environments as well as the data processing in real-time. 

Building the innovative methodological framework and tools for the effective exploitation of integrated field data (technical and HOF) for sustainability

Defining sustainability performance indicators and the field data need to assess them

Acquiring the knowledge on the use of data manipulation tools

Validate the knowledge acquired and the approaches devised on real case study applications 

Planned secondment(s): The PhD student is going to be seconded on M6 for 12 months in TU DUBLIN to work on the HF/Neuroergonomics modelling for the LIVE LABS and on M12 in UMIL for 6 months to work on the Data modelling and AI algorithms for the wearable sensors use 

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