GENERAL INFORMATION ........................... 1. Dataset title: UMATUG 2. Authors: Carlos Alfredo Silva Villafuerte, Eduardo Casilari 3. Author contact information: Eduardo Casilari. Email: ecasilari@uma.es METHODOLOGICAL INFORMATION ................................. 1. Description of the methods for collection/generation of data: The dataset was collected from a cohort of 69 experimental subjects during the execution of several repetitions of the TUG (Timed-Up-and-Go) test. The dataset includes the measurements gathered with four wearables SHIMMER devices embedding four sensors (accelerometer, gyroscope magnetometer and barometer) located on four body locations (waist, dominant wrist, ankle and chest). Younger participants repeat the tests wearing a geriatric simulator. Reference: Silva Villafuerte, Carlos Alfredo; CASILARI, EDUARDO (2024), “UMATUG”, Mendeley Data, V1, doi: 10.17632/8z96ds3jsp.1 2. Data processing methods UMATUG dataset contains the inertial data collected from a cohort of 69 experimental subjects (including 30 adults over 60 years), during the execution of TUG (Timed-Up-and-Go) mobility tests. In particular, the dataset includes the measurements gathered with four wearables SHIMMER devices embedding four sensors (accelerometer, gyroscope magnetometer and barometer) located on four body locations (waist, dominant wrist, ankle and chest). The dataset also incorporates the same measurements recorded when the younger subjects (that is, those under 40 years old) repeat the test while wearing a commercial geriatric simulator 3. Software or instruments needed to interpret the data: Data are represented throug CSV (Comma Separated Values) plain-text files which can be directly loaded and processed from any programming language. 4. Standards and calibration information, if appropriate: Shimmer sensors are calibrated by the vendor. 5. Environmental or experimental conditions: In order to employ a more realistic application scenario, the samples were captured in 16 domestic environments located in the city of Málaga (Spain, mean elevation above mean sea level: 19 m (62 feet). FILE OVERVIEW ---------------------- The dataset is organized in two main subdirectories. The first one (DATA) in turn consists of 69 different subfolders containing all movement traces collected from a particular participant. The numerical identifier of the corresponding participant is indicated in the name of the subfolder (SUBJECT_XX, with XX ranging from 01 to 69). In each subfolder, all the measurements generated by a Shimmer Unit during an execution of the TUG test are included in a unique CSV (Comma Separated Value) file whose name follows the format: subject_XX_GERT/NOGERT_TUG_trial_YY_WAIST/WRIST/ANKLE/CHEST.csv where: • XX is the participant’s identifier. • The field GERT/NOGERT indicates whether the participant was wearing the geriatric simulator during the test (value GERT) or not (value NOGERT). • YY is a numerical value that identifies the number of repetition or attempt of the test. • The field WAIST/WRIST/ANKLE/CHEST informs about the position where the sensor was located during the measurement process. The second subfolder of the root or parent directory of the repository, named VIDEO, simply includes two video clips (in MPEG4 format) in which one of the dataset authors executes two test executions (with and without the geriatric simulator) to illustrate the testbed and the monitoring procedure. In addition, the root folder encompasses two extra files: • Readme.txt: a file in plain text providing the basic information of the structure and contents of the dataset. • User_data.csv: A CSV-formatted file in which each row describes the personal characteristics of each experimental subject. Thus, each row (as also represented in Table 1) informs about the numerical identifier, gender, age, height, weight and handedness of the corresponding participant. DATA-SPECIFIC INFORMATION: ------------------------------------------- In the trace files, each line consists of all the measurements taken at a particular instant by the unit from all the four embedded sensors: the triaxial inertial sensors (accelerometer, gyroscope and magnetometer) and the barometer. The measurements in each line, which are separated by commas, are organized in columns as it follows: Column 1 TTimestamp of the data in Unix epoch time (POSIX time) in ms: time elapsed since 00:00:00 Coordinated Universal Time (UTC) on January 1, 1970 Column 2 Value of the x-axis of the accelerometer in m/s2 Column 3 Value of the y-axis of the accelerometer in m/s2 Column 4 Value of the z-axis of the accelerometer in m/s2 Column 5 Value of the x-axis of the gyroscope in °/s Column 6 Value of the y-axis of the gyroscope in °/s Column 7 Value of the z-axis of the gyroscope in °/s Column 8 Value of the x-axis of the magnetometer in microtesla (µT) Column 9 Value of the y-axis of the magnetometer in microtesla (µT) Column 10 Value of the z-axis of the magnetometer in microtesla (µT) Column 11 Value of pressure in Kilopascales (kPa) MORE INFORMATION ------------------- Refer to the following article for further information about the dataset: Carlos A. Silva, Eduardo Casilari, Rodolfo García-Bermúdez, UMATUG: A dataset of inertial signals of older and young adults using a gerontologic simulator collected during instrumented Timed Up and Go (iTUG) tests, Data in Brief, Volume 55,2024, 110621, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2024.110621.