Unknown

Dataset Information

0

Dataset of inertial measurements of smartphones and smartwatches for human activity recognition.


ABSTRACT: This article describes a dataset for human activity recognition with inertial measurements, i.e., accelerometer and gyroscope, from a smartphone and a smartwatch placed in the left pocket and on the left wrist, respectively. Twenty-three heterogeneous subjects (μ = 44.3, σ = 14.3, 56% male) participated in the data collection, which consisted of performing five activities (seated, standing up, walking, turning, and sitting down) arranged in a specific sequence (corresponding with the TUG test). Subjects performed the sequence of activities multiple times while the devices collected inertial data at 100 Hz and were video-recorded by a researcher for data labelling purposes. The goal of this dataset is to provide smartphone- and smartwatch-based inertial data for human activity recognition collected from a heterogeneous (i.e., age-diverse, gender-balanced) set of subjects. Along with the dataset, the repository includes demographic information (age, gender), information about each sequence of activities (smartphone's orientation in the pocket, direction of turns), and a Python package with utility functions (data loading, visualization, etc). The dataset can be reused for different purposes in the field of human activity recognition, from cross-subject evaluation to comparison of recognition performance using data from smartphones and smartwatches.

SUBMITTER: Matey-Sanz M 

PROVIDER: S-EPMC10700515 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Dataset of inertial measurements of smartphones and smartwatches for human activity recognition.

Matey-Sanz Miguel M   Casteleyn Sven S   Granell Carlos C  

Data in brief 20231117


This article describes a dataset for human activity recognition with inertial measurements, i.e., accelerometer and gyroscope, from a smartphone and a smartwatch placed in the left pocket and on the left wrist, respectively. Twenty-three heterogeneous subjects (<i>μ</i> = 44.3, <i>σ</i> = 14.3, 56% male) participated in the data collection, which consisted of performing five activities (<i>seated, standing up, walking, turning,</i> and <i>sitting down</i>) arranged in a specific sequence (corres  ...[more]

Similar Datasets

| S-EPMC9950089 | biostudies-literature
| S-EPMC10490152 | biostudies-literature
| S-EPMC7957807 | biostudies-literature
| S-EPMC9288695 | biostudies-literature
| S-EPMC9525570 | biostudies-literature
| S-EPMC10109229 | biostudies-literature
| S-EPMC6263747 | biostudies-other
| S-EPMC7256581 | biostudies-literature
| S-EPMC9319117 | biostudies-literature
| S-EPMC6920471 | biostudies-literature