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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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Dades bibliogràfiques
Publicat a:Sensors (Basel)
Autors principals: Hur, Taeho, Bang, Jaehun, Huynh-The, Thien, Lee, Jongwon, Kim, Jee-In, Lee, Sungyoung
Format: Artigo
Idioma:Inglês
Publicat: MDPI 2018
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6263516/
https://ncbi.nlm.nih.gov/pubmed/30428600
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18113910
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