Titlebook: Advances in Neuroergonomics and Cognitive Engineering; Proceedings of the A Hasan Ayaz,Umer Asgher,Lucas Paletta Conference proceedings 202

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https://doi.org/10.1007/978-3-540-49912-1iosyncrasies that make applying deep learning challenging. Further, the complexity of deep learning can make finding errors challenging and deducing what was actually learned by the model near impossible. This paper provides two case-studies in which our research group faced and overcame such challe

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Challenges and Initial Approachesincreasing independence and quality of life. The goal of our study was to examine the effect of disease progression on the efficiency of communication using a P300 BCI speller. To address this, BCI data was analyzed from 19 people living with ALS at various stages of disease. Accuracy in word spelli

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Geometric Structures on Riemann Surfaces,om aviation to robotic neurosurgery. High accuracy and continuous mental state decoding play an essential role for keeping the operator’s mental workload on a moderate level to prevent cognitive tunneling and improve the safety and performance of complex machine use. Monitoring brain activity using

FECT

Geometric Structures on Riemann Surfaces,still focus on how emotion would influence the feature of design outcomes or how to understand the users’ emotional concerns. Limited investigations are conducted for optimising the design process. Especially to the junior designers and junior design students, a niche need for helping them to manipu

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