Human–computer interaction based visual feedback system for augmentative and alternative communication

Yubin Liu, null; Sivaparthipan, C. B.; Shankar, Achyut

doi:10.1007/s10772-021-09901-4

Record: found
Abstract: not found
Article: not found

Human–computer interaction based visual feedback system for augmentative and alternative communication

Author(s): Yubin Liu , C. B. Sivaparthipan , Achyut Shankar

Publication date (Electronic): October 18 2021

Journal: International Journal of Speech Technology

Publisher: Springer Science and Business Media LLC

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Most cited references 21

Record: found
Abstract: not found
Article: not found

Detection of flood disaster system based on IoT, big data and convolutional deep neural network

M. Anbarasan, BalaAnand Muthu, C.B. Sivaparthipan … (2020)

0 comments Cited 27 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Brain–Computer Interfaces for Augmentative and Alternative Communication: A Tutorial

Jonathan S. Brumberg, Kevin M. Pitt, Alana Rae Mantie-Kozlowski … (2018)

Brain-computer interfaces (BCIs) have the potential to improve communication for people who require but are unable to use traditional augmentative and alternative communication (AAC) devices. As BCIs move toward clinical practice, speech-language pathologists (SLPs) will need to consider their appropriateness for AAC intervention.