ACTi Graphs: Data Collections from Physiological Experiments on Stress and Energy Expenditure

Description

This database brings together data collected from ActiGraphs worn by test participants. Each participant wore three ActiGraphs placed on the ankle, waist, and wrist during the tests. The published data has been pre-processed using ActiLife software. This database enabled comparisons between energy expenditure, the number of mistakes made, and participants' self-reported stress levels. The data is organised into folders, each corresponding to a specific participant. Within each participant’s folder, there are three subfolders and a file. The subfolders contain pre-processed data from the ActiGraphs, categorised by the body location where each sensor was worn (ankle, waist, and wrist). The file named "performance.xlsx" provides details on the participant's performance during the test. The pre-processed ActiGraph files display the counts from the sensor axes. These counts are calculated by ActiLife software, using a proprietary method that the company has not disclosed. Additional information, such as inclinometer readings and step counts, is also included in these files, although this data was not used in the study. The "performance.xlsx" file outlines the conditions and results of each task performed by the participants. It specifies the start and end times of each task, the number of errors made, and details about environmental and noise conditions ("Temperature" and "Noise"). This file also contains participants’ responses to a stress questionnaire administered at the end of each task. The questionnaire is available in the attached document titled "Stress Questionnaire.pdf". Additionally, the "NoStress_Processing.py" Python script is provided for data processing.

Steps to reproduce

The dataset was gathered from various experiments conducted in an industrial setting. A total of seven participants took part, each wearing three ACTiGraphs: one on the dominant wrist, one on the hip, and one on the dominant ankle. The data is organised in the "NO-STRESS ACTiGraph" folder and includes ACTiGraph counts generated using ACTiLife software, details about the environmental conditions during the tests, and participants' responses to the stress questionnaires (provided as PDFs). This dataset facilitated the calculation of energy expenditure and allowed for comparisons between stress scores, error counts, and other metrics, all analysed using the NoStress_Processing.py script.

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