Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata

In this paper, a hardware-optimized approach to emotion recognition based on the efficient brain-inspired hyperdimensional computing (HDC) paradigm is proposed. Emotion recognition provides valuable information for human–computer interactions; however, the large number of input channels (> 200) a...

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Detalles Bibliográficos
Autores principales: Menon, Alisha, Natarajan, Anirudh, Agashe, Reva, Sun, Daniel, Aristio, Melvin, Liew, Harrison, Shao, Yakun Sophia, Rabaey, Jan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237202/
https://www.ncbi.nlm.nih.gov/pubmed/35759153
http://dx.doi.org/10.1186/s40708-022-00162-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237202/
https://www.ncbi.nlm.nih.gov/pubmed/35759153
http://dx.doi.org/10.1186/s40708-022-00162-8

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