Human grasping database for activities of daily living with depth, color and kinematic data streams

This paper presents a grasping database collected from multiple human subjects for activities of daily living in unstructured environments. The main strength of this database is the use of three different sensing modalities: color images from a head-mounted action camera, distance data from a depth...

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Detalles Bibliográficos
Autores principales: Saudabayev, Artur, Rysbek, Zhanibek, Khassenova, Raykhan, Varol, Huseyin Atakan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5972673/
https://www.ncbi.nlm.nih.gov/pubmed/29809171
http://dx.doi.org/10.1038/sdata.2018.101

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5972673/
https://www.ncbi.nlm.nih.gov/pubmed/29809171
http://dx.doi.org/10.1038/sdata.2018.101

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