Autogenic Training With Natural Language Processing Modules: A Recent Tool For Certain Neuro Cognitive Studies

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dc.creatorRavichandran, S.
dc.creatorKarthik, M. N.
dc.date2004-07-02
dc.date.accessioned2026-07-07T03:21:31Z
dc.date.available2026-07-07T03:21:31Z
dc.descriptionLearning to respond to voice-text input involves the subject's ability in understanding the phonetic and text based contents and his/her ability to communicate based on his/her experience. The neuro-cognitive facility of the subject has to support two important domains in order to make the learning process complete. In many cases, though the understanding is complete, the response is partial. This is one valid reason why we need to support the information from the subject with scalable techniques such as Natural Language Processing (NLP) for abstraction of the contents from the output. This paper explores the feasibility of using NLP modules interlaced with Neural Networks to perform the required task in autogenic training related to medical applications.
dc.description2 Pages. Proceedings of 11th International Congress on Biological & Medical Engineering, Singapore (IEEE-EMBS & IFMBE endorsed)
dc.identifierhttps://arxiv.org/abs/cs/0407008
dc.identifierhttp://arxiv.org/abs/cs/0407008
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32229
dc.subjectArtificial Intelligence
dc.subjectI.2.1; I.2.6; I.2.7
dc.titleAutogenic Training With Natural Language Processing Modules: A Recent Tool For Certain Neuro Cognitive Studies
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