MONITOR PhysiCube Dataset: Dataset of Physiological Parameters for Monitoring Stress in Garments Workers using PhysiCube Sensors

MONITOR: A Data-driven Intelligent MONITORring System to Improve Quality of Working Life The project, MONITOR, aims to establish mobility of bilateral collaboration between Islamic University of Technology (IUT), Bangladesh, and Mälardalen University (MDH), Sweden in specific research and education domains of Science and Technology at an institutional level. MDH has been leading several projects to develop tools to classify physiological data for individualized classification of physiological sensor readings to monitor stress, fatigue, and mental load at work and home environments. The project was funded by Stiftelsen för internationalisering av högre utbildning och forskning (STINT) under the Grant Agreement No. 202100-2916. This project has unfolded many benefits for both the partnering universities. It gave access to a wide variety of data regarding mental health-related parameters to the researchers. Given the data collection was done in Bangladesh, it was challenging for the researchers to extract correct and accurate data under harsh/unsafe conditions. This trained the researchers to collect data under real complex conditions. In this project, MDH provided resources and knowledge to update the already developed AI algorithms to support Garment workers’ mental health monitoring. IUT provided expert human resources to develop a sensor-setting framework and assisted in collecting and analyzing the data. Northern Tosrifa Group (NTG): A LEED-certified garment factory in Bangladesh, provided the test environment and subjects to collect and validate the system. The group has 5 companies under its operation and all the companies manufacture and export their products to markets in North America and Europe. For the project MONITOR, Fashion Asia Limited (FAL) (one of the 5 companies under NTG) provided the necessary manpower and data collection environment for the project. About the Dataset As part of the MONITOR project, an in-house sensor device, named PhysiCube, was developed for measuring the following physiological parameters- Object Temperature(F): The skin temperature of the subject (measured in Fahrenheit) was recorded using a low-cost off-the-shelf temperature sensor. Heart Rate Ear(BPM): The heart rate of the subject (measured in Beats per Minute) was recorded using a heart rate sensor wearable on the ear lobe. Galvanic Skin Response (GSR): The Galvanic Skin Response (GSR), which measures the skin’s electrical conductivity in response to sweat gland activity in the fingers and palms was measured using a low-cost off-the-shelf GSR Sensor. The dataset contains the timestamped values (as elapsed time, in the format '%MM:%SS') of all the aforementioned parameters for 24 subjects (29.17% Male, 70.83% Female, Age Group: 18-40 years) with written consent. Data were collected in the following three phases- Baseline Values: Values of the aforementioned physiological markers that reflect the corresponding values under normal/relaxed conditions. In other words, the stress-free values of these physiological markers. Example filename: C01_PF_base.csv. After-Lunch Values: Values that were recorded after the lunch break. Example filename: C10_PM_after_lunch.csv. Stress-Induced Values: Values that were recorded while inducing stress using various stress-inducing questionnaires available in the literature. Example filename: C10_PM_stress_induced.csv. Files were organized in a way such that each subject had a directory. In each directory, files were named as '<subject_id>_<device_tag><gender_tag>_<category>.csv'. For example: Base data of a Female subject C01 recorded using a PhysiCube sensor will have the name: C01_PF_base.csv After Lunch data of a Male subject C10 recorded using a PhysiCube sensor will have the name: C10_PM_after_lunch.csv N.B. : As part of the MONITOR project, another dataset titled, "MONITOR Shimmer Dataset: Dataset of Physiological Parameters for Monitoring Stress in Garments Workers using Shimmer Sensors", was simultaneously developed using Shimmer sensors, to measure the physiological data of the same subjects.MONITOR：一款基于数据驱动的智能监测系统，用于提升工作生活质量 本项目MONITOR旨在搭建双边协作联动机制，推动孟加拉国伊斯兰科技大学（Islamic University of Technology, IUT）与瑞典梅拉达伦大学（Mälardalen University, MDH）在科技领域的特定研究与教育方向开展校级层面的深度合作。梅拉达伦大学此前已主导多项研究，开发用于生理数据分类的工具，可对生理传感器读数进行个性化分类，从而监测工作与居家场景中的压力、疲劳及心理负荷。本项目由瑞典高等教育与研究国际化基金会（Stiftelsen för internationalisering av högre utbildning och forskning, STINT）通过编号为202100-2916的资助协议提供资金支持。 本项目为合作双方高校带来了诸多裨益：研究人员得以获取大量与心理健康相关的参数数据；由于数据采集工作在孟加拉国开展，研究人员需在严苛且不安全的环境中提取准确无误的数据，这无疑极具挑战，此次经历也锤炼了研究人员在真实复杂场景下的数据采集能力。本项目中，梅拉达伦大学提供了资源与技术支持，对已开发的人工智能算法进行升级，以助力服装工人的心理健康监测；孟加拉国伊斯兰科技大学则提供了专业人力资源，用于搭建传感器设置框架，并协助完成数据采集与分析工作。 北方托斯里法集团（Northern Tosrifa Group, NTG）是孟加拉国一家获得LEED认证的服装工厂，为本系统的采集与验证工作提供了测试环境与受试对象。该集团旗下共有5家企业，所有企业均从事产品制造，并将产品出口至北美与欧洲市场。在MONITOR项目中，该集团旗下的Fashion Asia Limited（FAL）为项目提供了必要的人力支持与数据采集环境。 ### 数据集说明 作为MONITOR项目的组成部分，团队开发了一款名为PhysiCube的自研传感器设备，用于采集以下生理参数： 1. **物体温度（华氏度，Object Temperature(F)）**：采用低成本商用温度传感器采集受试者的体表温度，单位为华氏度。 2. **耳戴式心率（每分钟心跳数，Heart Rate Ear(BPM)）**：采用佩戴于耳垂的心率传感器采集受试者的心率，单位为每分钟心跳数（BPM）。 3. **皮肤电反应（Galvanic Skin Response, GSR）**：采用低成本商用GSR传感器，采集受试者指掌部位汗腺活动对应的皮肤导电率变化。 本数据集包含24名签署书面知情同意书的受试者的上述所有参数的带时间戳数据（以流逝时间格式`%MM:%SS`记录），受试者群体性别占比为29.17%男性、70.83%女性，年龄区间为18至40岁。 数据采集分为以下三个阶段： 1. **基础值阶段**：采集受试者在正常放松状态下的上述生理指标数值，即无压力状态下的生理参数基准值。示例文件名：`C01_PF_base.csv`。 2. **午间餐后阶段**：采集受试者午休后的生理参数数值。示例文件名：`C10_PM_after_lunch.csv`。 3. **压力诱导阶段**：采用已有文献中的各类压力诱导问卷诱发受试者产生压力，同步采集此时的生理参数数值。示例文件名：`C10_PM_stress_induced.csv`。 数据集文件按受试者分组存储，每名受试者对应一个独立目录。目录内的文件命名规则为：`<受试者ID>_<设备标签><性别标签>_<类别>.csv`，示例如下： - 使用PhysiCube传感器采集的C01号女性受试者的基础数据文件名为`C01_PF_base.csv`。 - 使用PhysiCube传感器采集的C10号男性受试者的午间餐后数据文件名为`C10_PM_after_lunch.csv`。 **备注**：作为MONITOR项目的另一组成部分，团队同时使用Shimmer传感器开发了另一数据集《MONITOR Shimmer Dataset：基于Shimmer传感器的服装工人压力监测生理参数数据集》，用于采集同一批受试者的生理数据。