ACTi graphs: Datasets of physiological experiments associated with measurement on stress and energy expenditure

Description

The database presented combines the data from the ActiGraphs worn by the test participants. During these tests, the participants wore three ActiGraphs placed on their ankle, waist and wrist. The published data is pre-processed data that has been processed in the ActiLife software. This database made it possible to compare energy expenditure with the number of mistakes made and with the participants' perception of stress. The data is divided into folders, with each folder referring to a participant. Within each participant folder there are three folders and a file. Each folder stores the pre-processed data from the ACTiGraphs and is divided by the body zones where the sensors are placed (ankle, waist and wrist). The "performance.xlsx" file details the participant's performance during the test. The pre-processed ACTiGraphs files show the counts of the sensor axis. These counts are calculated by the ACTiLife software, and the method of calculation is something that the company does not make public. There is also other information in these files, such as the indication of inclinometers and step counts, data that was not used in this study. The "performace.xlsx" file describes the conditions and results of the tasks that each participant had to carry out. It details the start and end time of each task, the number of errors made while performing the task, and the environmental and noise conditions ("Temperature" and "Noise"). This file also records the answers to a stress questionnaire that was applied at the end of each task. This questionnaire can be found in the attached documents under "Stress Questionnaire.pdf". The "NoStress_Processing.py" is a python script that allow to process the data.

Steps to reproduce

The data set was collected during different experiments in an industrial environment. Each participant (7 participants in total) wore three ACTi graphs placed one on the dominant wrist, one on the hip and one on the dominant ankle. The data, stored in the folder “NO-STRESS ACTiGraph”, shows the ACTiGraph counts produced by the ACTiLife software, the recorded environmental conditions of the tests and the answers to the stress questionnaires (pdf) by the participants. This data made it possible to calculate energy expenditure and compare this information with the stress score and the number of errors, analyzed by the NoStress_Processing.py.

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