2026-04-22T21:38:16Zhttps://uvadoc.uva.es/oai/request
oai:uvadoc.uva.es:10324/687002025-05-05T08:45:25Zcom_10324_39910com_10324_894col_10324_39911
UVaDOC author Vegas Hernández, Jesús María author Llamas Bello, César author González Delgado, Manuel Ángel author Hernández Díez, María Carmen editor Universidad de Valladolid. Escuela de Ingeniería Informática de Valladolid 2024-07-11T11:04:18Z 2024-07-11T11:04:18Z 2024 Vegas, J., Llamas, C., González, M.A. and Hernández, C., 2021. Identifying users from the interaction with a door handle. Pervasive and Mobile Computing, 70, p.101293. https://uvadoc.uva.es/handle/10324/68700 10.71569/egam-fj65 Abstract: This data set consists of series of vectors formed from angular speeds and accelerations, conveniently labeled with time in µseconds. A total of 47 individuals (13 female and 34 male) aged from 18 to 68 years old collaborated in the making of our database. Independently of whether the subject was right- or left-handed, the individuals were asked to interact as naturally as possible with a right-handed door handle for 25 repetitions on a firmly closed door. The subjects were asked to try to open a closed door: (i) to start at a distance of 3 m right in front of the door and walk as they usually will do with the intention of acting on the door handle, then (ii) to act on the door handle, (iii) to wait a very short time with the lever on the end-stop position, (iv) to release the force while handling the door handle, and finally (v) to move away the hand. For each of the donors, age, gender and height were recorded and stored aside the samples. No other personal information was included on it. All the persons were informed about the purpose of the corpus, and that the recorded data would be made available for the community in an anonymous way, and they signed an uninterested agreement donating of the data. The first 200 samples of each series capture the rest state of the system before the instant in which the platform detects a significant change in the energy of the signal; from this very moment the platform acquires a fixed amount of samples up to complete a total duration of 2.5 s, that we considered large enough to gather all data. Discarding some series that did not contain the whole user interaction with the door handle was a minor problem, and finally a corpus consisting of 20 repetitions for each subject was created and labeled, resulting of a total of 960 attempts of opening a door. eng Atribución-CompartirIgual 4.0 Internacional Sensor based dataset for the identification of users with a door handle dataset 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URL https://uvadoc.uva.es/bitstream/10324/68700/2/knobID_dataset_GA.csv File MD5 8cea4c2d525a99357e8642cf8cc6fe5e 105346160 text/csv knobID_dataset_GA.csv URL https://uvadoc.uva.es/bitstream/10324/68700/3/meta_final_dataset.csv File MD5 80b86fd1da0ff4cd4a96bde93497cb3d 865 text/csv meta_final_dataset.csv URL https://uvadoc.uva.es/bitstream/10324/68700/4/Readme.txt File MD5 fa209e29aea5cfa832a601ba3659faf2 3721 text/plain Readme.txt