Dataset of Workers Physiological Responses Under Varied Assembly Conditions

Dataset

Description

The physiological signals in this study were collected from two participants working in a laboratory setup. The experiment was conducted to simulate an assembly line, where participants had to assemble a box in five steps. While assembling the box participants were exposed to different stimuli designed to enhance their reactions in three psychophysiological states: stress, attention, and visual fatigue. Also, participants performed sessions in which they were not exposed to any stimuli, just to see their normal reaction towards the task.

The dataset includes signals derived from cardiovascular and ocular activity. Cardiovascular signals were recorded using an ECG chest band, and ocular signals were captured via eye-tracking glasses.

Data files

Each .zip file corresponds to one of the two participants. Inside each .zip, you will find four folders: blinks, fixations, saccades, and ECG data. These folders contain .csv files from multiple recording sessions. Each .csv file is organized into columns with features specific to its category (blinks, fixations, saccades, ECG) and generic identifiers such as:



Worker ID

Experiment Name

Event Label

Event Group

Start

End

Timestamp


The Event Label column indicates the task the participant was performing at a given moment. For eye-tracking data, it may also include information about the stimulus the worker was looking at (e.g., task_name or screen).

Similarly, the Event Group column primarily identifies the product numbers handled during that recording session. For eye-tracking data, it can also indicate whether the operator was looking at a product (box) or a screen.

For ECG data, the Start and End columns mark the beginning and end of the event described in Event Label, while Timestamp specifies when the data was collected.
Date made available17 Dec 2025
PublisherZenodo

Funding

FundersFunder number
European Commission101058589

    Field of science, Statistics Finland

    • 222 Other engineering and technologies
    • 113 Computer and information sciences

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