Video-Based Human Activity Recognition Using Deep Learning Approaches

Due to its capacity to gather vast, high-level data about human activity from wearable or stationary sensors, human activity recognition substantially impacts people’s day-to-day lives. Multiple people and things may be seen acting in the video, dispersed throughout the frame in various places. Beca...

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Detalles Bibliográficos
Autores principales: Surek, Guilherme Augusto Silva, Seman, Laio Oriel, Stefenon, Stefano Frizzo, Mariani, Viviana Cocco, Coelho, Leandro dos Santos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386633/
https://www.ncbi.nlm.nih.gov/pubmed/37514677
http://dx.doi.org/10.3390/s23146384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386633/
https://www.ncbi.nlm.nih.gov/pubmed/37514677
http://dx.doi.org/10.3390/s23146384

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