This dataset contains data collected from 10 participants using a liquid metal data glove equipped with 12 sensors. The data is primarily aimed at facilitating research in the fields of human - computer interaction, motion tracking, and related areas. The use of a liquid metal data glove offers unique advantages in terms of flexibility and sensitivity, providing rich and detailed information about finger movements.
This file includes code and data of the paper named Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images