2026-05-31T10:57:48Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/409982026-02-03T11:36:57Zcom_10630_2254col_10630_20092

Casilari-Pérez, Eduardo Barbosa-Galeano, Jennifer González-Cañete, Francisco Javier 2025-12-04T13:21:04Z 2025-12-04T13:21:04Z 2024-07-02 https://hdl.handle.net/10630/40998 10.6084/m9.figshare.25638246 10.24310/riuma.40998 https://figshare.com/articles/dataset/UMAHand_Hand_Activity_Dataset_Universidad_de_M_laga_/25638246?file=47375308 The objective of the UMAHand dataset is to provide a systematic, Internet-accessible benchmarking database for evaluating algorithms for the automatic identification of manual activities. The database was created by monitoring 29 predefined activities involving specific movements of the dominant hand. These activities were performed by 25 participants, each completing a certain number of repetitions. During each movement, participants wore a 'mote' or Shimmer sensor device on their dominant hand's wrist. This sensor, comparable in weight and volume to a wristwatch, was attached with an elastic band according to a predetermined orientation. The Shimmer device contains an Inertial Measurement Unit (IMU) with a triaxial accelerometer, gyroscope, magnetometer, and barometer. These sensors recorded measurements of acceleration, angular velocity, magnetic field, and atmospheric pressure at a constant sampling frequency of 100 Hz during each movement. eng http://creativecommons.org/licenses/by-nc/4.0/ open access Attribution-NonCommercial 4.0 Internacional Biometría Interacción hombre-ordenador UMAHand: Hand Activity Dataset (Universidad de Málaga) dataset