NDLI: A novel asynchronous access method with binary interfaces

Content Provider	Springer Nature : BioMed Central
Author	Silva, Jorge Torres-Solis, Jorge Chau, Tom Mihailidis, Alex
Abstract	Background Traditionally synchronous access strategies require users to comply with one or more time constraints in order to communicate intent with a binary human-machine interface (e.g., mechanical, gestural or neural switches). Asynchronous access methods are preferable, but have not been used with binary interfaces in the control of devices that require more than two commands to be successfully operated. Methods We present the mathematical development and evaluation of a novel asynchronous access method that may be used to translate sporadic activations of binary interfaces into distinct outcomes for the control of devices requiring an arbitrary number of commands to be controlled. With this method, users are required to activate their interfaces only when the device under control behaves erroneously. Then, a recursive algorithm, incorporating contextual assumptions relevant to all possible outcomes, is used to obtain an informed estimate of user intention. We evaluate this method by simulating a control task requiring a series of target commands to be tracked by a model user. Results When compared to a random selection, the proposed asynchronous access method offers a significant reduction in the number of interface activations required from the user. Conclusion This novel access method offers a variety of advantages over traditionally synchronous access strategies and may be adapted to a wide variety of contexts, with primary relevance to applications involving direct object manipulation.
Related Links	https://jneuroengrehab.biomedcentral.com/counter/pdf/10.1186/1743-0003-5-24.pdf
Ending Page	19
Page Count	19
Starting Page	1
File Format	HTM / HTML
ISSN	17430003
DOI	10.1186/1743-0003-5-24
Journal	Journal of NeuroEngineering and Rehabilitation
Issue Number	1
Volume Number	5
Language	English
Publisher	BioMed Central
Publisher Date	2008-10-29
Access Restriction	Open
Subject Keyword	Neurosciences Neurology Rehabilitation Medicine Biomedical Engineering and Bioengineering Cumulative Distribution Function Model User Access Method Real User Target Outcome
Content Type	Text
Resource Type	Article
Subject	Health Informatics Rehabilitation
Journal Impact Factor	5.2/2023
5-Year Journal Impact Factor	5.6/2023

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