2018
DOI: 10.1016/j.autcon.2018.05.027
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EEG-based workers' stress recognition at construction sites

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Cited by 254 publications
(112 citation statements)
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“…Other research groups have studied longitudinal EEG data from individual subjects such as an investigation involving 103-day single channel EEG data on emotion recognition in daily life [49]. Nowadays, fundamental knowledge on emotion recognition or affective computing using brain wave activity has been applied in broad areas such as studies of people with depression [50], stress in construction workers [51], and interactions between ambient temperature in building and the occupant [52].…”
Section: Consumer Grade Eeg For Emotion Recognitionmentioning
confidence: 99%
“…Other research groups have studied longitudinal EEG data from individual subjects such as an investigation involving 103-day single channel EEG data on emotion recognition in daily life [49]. Nowadays, fundamental knowledge on emotion recognition or affective computing using brain wave activity has been applied in broad areas such as studies of people with depression [50], stress in construction workers [51], and interactions between ambient temperature in building and the occupant [52].…”
Section: Consumer Grade Eeg For Emotion Recognitionmentioning
confidence: 99%
“…The literature provided evidence for improving workplace mental health, such as alternate work schedules (Lingard et al, 2007); evidenced-based ideas for improvement (Eaves et al, 2016), and ways of early detection of stress (Jebelli et al 2018). Further research studies are required to build upon this literature in order to advance extant knowledge into how construction mental health problems can be identified and managed to produce a healthier workforce that ultimately, will reduce construction costs.…”
Section: Discussionmentioning
confidence: 99%
“…In another research illustrated in [21], a technique has been proposed to consequently perceive laborers' stress in building locals. Authors had extracted features in frequency and time domain using fixed and sliding window techniques.…”
Section: Literature Reviewmentioning
confidence: 99%