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• W1030972459 abstract "Near-infrared spectroscopy (NIRS) brain-computer interfaces (BCIs) enable users to interact with their environment using only cognitive activities. This paper presents the results of a comparison of four methodological frameworks used to select a pair of tasks to control a binary NIRS-BCI; specifically, three novel personalized task paradigms and the state-of-the-art prescribed task framework were explored.Three types of personalized task selection approaches were compared, including: user-selected mental tasks using weighted slope scores (WS-scores), user-selected mental tasks using pair-wise accuracy rankings (PWAR), and researcher-selected mental tasks using PWAR. These paradigms, along with the state-of-the-art prescribed mental task framework, where mental tasks are selected based on the most commonly used tasks in literature, were tested by ten able-bodied participants who took part in five NIRS-BCI sessions.The frameworks were compared in terms of their accuracy, perceived ease-of-use, computational time, user preference, and length of training. Most notably, researcher-selected personalized tasks resulted in significantly higher accuracies, while user-selected personalized tasks resulted in significantly higher perceived ease-of-use. It was also concluded that PWAR minimized the amount of data that needed to be collected; while, WS-scores maximized user satisfaction and minimized computational time.In comparison to the state-of-the-art prescribed mental tasks, our findings show that overall, personalized tasks appear to be superior to prescribed tasks with respect to accuracy and perceived ease-of-use.The deployment of personalized rather than prescribed mental tasks ought to be considered and further investigated in future NIRS-BCI studies." @default.
• W1030972459 created "2016-06-24" @default.
• W1030972459 creator A5061540808 @default.
• W1030972459 creator A5074980693 @default.
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• W1030972459 date "2015-10-01" @default.
• W1030972459 modified "2023-09-26" @default.
• W1030972459 title "Exploring methodological frameworks for a mental task-based near-infrared spectroscopy brain–computer interface" @default.
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• W1030972459 doi "https://doi.org/10.1016/j.jneumeth.2015.07.007" @default.
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