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Auditory-Reliant Intracortical Brain Computer Interfaces for Effector Control by a Person with Tetraplegia

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1294))

Abstract

Brain computer interfaces (BCI) have been successful in enabling control of external effectors, such as a computer cursor or robotic arm by people with severe motor impairment. While current usage relies heavily on the users’ ability to reliably utilize visual feedback from the interface, a visual-based BCI can be difficult or even unfeasible to use by people whose paralysis is accompanied by limitations of eye movements or vision. Here we present a novel auditory paradigm, and present pilot data from a person with tetraplegia performing a BCI task with auditory cues.

Inspired by previous studies, we utilize spatial auditory signals - specifically, head-response transfer functions (HRTF) - to provide task-relevant auditory feedback in real-time via headphones to the BCI user. To test the feasibility and reliability of HRTF-based feedback signals, we performed a sound source localization task in lab members and in one BCI participant with tetraplegia using intracortical recordings. Subjects were first tested on multiple azimuths of sound source, instructed to rely on the auditory cues to identify the cued spatial auditory direction, and then to navigate to the cued targets. Initial psychophysics testing suggests cursor navigation is possible in an auditory-reliant manner using the HRTF filters updated in real-time.

The results of this study demonstrate the development and implementation of a novel auditory-reliant intracortical BCI that provides real-time auditory feedback for effector control that has high potential for BCI usage in individuals with severe motor paralysis and sustained visual impairments.

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Correspondence to Daniel J. Thengone .

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Thengone, D.J., Hosman, T., Simeral, J.D., Hochberg, L.R. (2020). Auditory-Reliant Intracortical Brain Computer Interfaces for Effector Control by a Person with Tetraplegia. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294. Springer, Cham. https://doi.org/10.1007/978-3-030-60703-6_13

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  • DOI: https://doi.org/10.1007/978-3-030-60703-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60702-9

  • Online ISBN: 978-3-030-60703-6

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