Applications of electroencephalography in construction: Fid-Bau Portal

Applications of electroencephalography in construction

Saedi, Sina / Fini, Alireza Ahmadian Fard / Khanzadi, Mostafa / Wong, Johnny / Sheikhkhoshkar, Moslem / Banaei, Maryam

Abstract A wearable electroencephalogram (EEG) is considered a means for investigating psychophysiological conditions of individuals in the workplace in order to ameliorate occupational health and safety. Following other sectors, construction scholars have adopted this technology over the past decade to strengthen evidence-based practices to improve the wellbeing of workers. This study presents the state-of-the-art hardware, algorithms, and applications of EEG as a platform that assists in dealing with the risk-prone and complex nature of construction tasks. After summarizing the background of EEG and its research paradigms in different sectors, a comprehensive review of EEG-enabled construction research is provided. First, through a macro-scale review aided by bibliometric analysis a big picture of the research streams is plotted. Second, a micro-scale review is conducted to spot the gaps in the literature. The identified gaps are used to classify the future research directions into theoretical, application, and methodological developments.

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Highlights • Bibliometric Analysis, Thematic Analysis, and Gap Spotting techniques were used. • Clusters of EEG research themes, outcomes, hardware, software, and signal processing features were identified. • Limiting electrodes, tasks, laboratory settings, and signal processing to enable adoption of EEG in construction • Significant agenda for theoretical and methodological developments besides scope expansion