{"id":1899,"identifier":"9WYHGM","persistentUrl":"https://doi.org/10.34848/9WYHGM","protocol":"doi","authority":"10.34848","publisher":"Universidad del Rosario","publicationDate":"2024-10-04","storageIdentifier":"s3://10.34848/9WYHGM","datasetVersion":{"id":189,"datasetId":1899,"datasetPersistentId":"doi:10.34848/9WYHGM","storageIdentifier":"s3://10.34848/9WYHGM","versionNumber":1,"versionMinorNumber":0,"versionState":"RELEASED","lastUpdateTime":"2024-10-04T20:20:12Z","releaseTime":"2024-10-04T20:20:12Z","createTime":"2024-05-20T16:52:28Z","license":"CC0","termsOfUse":"CC0 Waiver","fileAccessRequest":false,"metadataBlocks":{"Urcitation":{"displayName":"UR Citation Metadata","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"URHAND"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Ramos, Orion"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Universidad del rosario"},"authorIdentifierScheme":{"typeName":"authorIdentifierScheme","multiple":false,"typeClass":"controlledVocabulary","value":"ORCID"},"authorIdentifier":{"typeName":"authorIdentifier","multiple":false,"typeClass":"primitive","value":"0009-0008-4518-2203"}}]},{"typeName":"urfaculty","multiple":true,"typeClass":"controlledVocabulary","value":["School of Engineering, Science and Technology"]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Ramos, Orion"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Universidad del rosario"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"orion.ramos@urosario.edu.co"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"Dentro de este dataset se encontrarán las siguientes carpetas con los siguientes archivos:\n\nClassifiers: archivo que utiliza el dataset llamado (archivo_ final.csv) para crear los clasificadores. \nEste documento es un archivo de código con extensión .py \n\nDataset creator: en esta carpeta se encuentran dos códigos de Python; dataset_creation.py el cual \npermite grabar un experimento de 50 muestras con la prótesis para la creación del dataset.\nUnificacion.py, permite unificar cada intento generado por el archivo anterior. Este crea el archivo \narchivo_ final.csv \n\nFinal data: contiene el dataset final archivo_ final.csv\n\nObjects: contiene un pdf (Object_List_AHAP_DataSet.pdf) con un listado de los objetos utilizados para \nlos experimentos y una relación del nombre del objeto y el ID usado en el dataset.\n\nraw data: Archivos de los datos recolectados para cada objeto y para cada intento. \nEste archivo se genera con dataset_creation.py y tienen la forma de data_x_n.py \ndonde x será una letra según el objeto y n un numero según el intento. \nSe tendrán 10 archivos para cada objeto. \n\nVideos: Se encuentra los videos de la creación del dataset desde dos perspectivas."},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2024-05-20"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Engineering"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"hand prosthesis"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"ML"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"Force sensors"}}]},{"typeName":"language","multiple":true,"typeClass":"controlledVocabulary","value":["English","Spanish, Castilian"]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Ramos, Orion"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2024-05-20"},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["- Posición Motor X: PosMx [θ]","Carga Motor X: LoadMx [Nm]","Corriente Motor X: CurreMx [A]","Fuerza FSR X: FSR_x [N]","Tiempo: Time [ms]","Categoría u objeto: Category [id]"]}]}},"files":[{"description":"Within this dataset, you will find the following folders with the following files:\n\nClassifiers: a file that uses the dataset named (archivo_final.csv) to create the classifiers. \nThis document is a .py code file.\n\nDataset creator: in this folder, there are two Python codes; dataset_creation.py which allows \nrecording an experiment of 50 samples with the prosthesis for dataset creation. \nUnificacion.py allows unifying each attempt generated by the previous file. \nThis creates the file archivo_final.csv.\n\nFinal data: contains the final dataset archivo_final.csv\n\nObjects: contains a PDF (Object_List_AHAP_DataSet.pdf) with a list of the objects used for the \nexperiments and a relationship of the object's name and the ID used in the dataset.\n\nraw data: Files of the collected data for each object and for each attempt. \nThis file is generated with dataset_creation.py and has the form data_x_n.py \nwhere x will be a letter according to the object and n a number according to the attempt. \nThere will be 10 files for each object.\n\nVideos: Contains the videos of the dataset creation from two perspectives.\n","label":"URHAND Supplementary documents.zip","restricted":false,"version":1,"datasetVersionId":189,"dataFile":{"id":1900,"persistentId":"doi:10.34848/9WYHGM/V7Z9MS","pidURL":"https://doi.org/10.34848/9WYHGM/V7Z9MS","filename":"URHAND Supplementary documents.zip","contentType":"application/zip","filesize":11300511914,"description":"Within this dataset, you will find the following folders with the following files:\n\nClassifiers: a file that uses the dataset named (archivo_final.csv) to create the classifiers. \nThis document is a .py code file.\n\nDataset creator: in this folder, there are two Python codes; dataset_creation.py which allows \nrecording an experiment of 50 samples with the prosthesis for dataset creation. \nUnificacion.py allows unifying each attempt generated by the previous file. \nThis creates the file archivo_final.csv.\n\nFinal data: contains the final dataset archivo_final.csv\n\nObjects: contains a PDF (Object_List_AHAP_DataSet.pdf) with a list of the objects used for the \nexperiments and a relationship of the object's name and the ID used in the dataset.\n\nraw data: Files of the collected data for each object and for each attempt. \nThis file is generated with dataset_creation.py and has the form data_x_n.py \nwhere x will be a letter according to the object and n a number according to the attempt. \nThere will be 10 files for each object.\n\nVideos: Contains the videos of the dataset creation from two perspectives.\n","storageIdentifier":"s3://urdataverse:18f96cae4d1-2eab1829a145","rootDataFileId":-1,"md5":"dc452d8337a7b0173cf5a6144e0db2eb","checksum":{"type":"MD5","value":"dc452d8337a7b0173cf5a6144e0db2eb"},"creationDate":"2024-05-20"}}],"citation":"Ramos, Orion, 2024, \"URHAND\", https://doi.org/10.34848/9WYHGM, Universidad del Rosario, V1"}}