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Iss2Image: A Novel Signal-Encoding Technique for CNN-Based Human Activity Recognition

The most significant barrier to success in human activity recognition is extracting and selecting the right features. In traditional methods, the features are chosen by humans, which requires the user to have expert knowledge or to do a large amount of empirical study. Newly developed deep learning...

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Detalles Bibliográficos
Autores principales: Hur, Taeho, Bang, Jaehun, Huynh-The, Thien, Lee, Jongwon, Kim, Jee-In, Lee, Sungyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263516/
https://www.ncbi.nlm.nih.gov/pubmed/30428600
http://dx.doi.org/10.3390/s18113910