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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.15565 |
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| _version_ | 1866914098441093120 |
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| author | de Jesus, Vinicius Moraes Pacheco, Andre Georghton Cardoso |
| author_facet | de Jesus, Vinicius Moraes Pacheco, Andre Georghton Cardoso |
| contents | The widespread adoption of wearable devices such as smartwatches and fitness trackers has fueled the demand for reliable physiological and movement data collection tools. However, challenges such as limited access to large, high-quality public datasets and a lack of control over data collection conditions hinder the development of robust algorithms. This work presents Colepp, an open-source, cross-platform tool designed to collect and synchronize data from multiple wearable devices, including heart rate (via ECG and PPG) and motion signals (accelerometer and gyroscope). The system integrates a smartphone as a central hub, receiving data from a Polar H10 chest strap and a Wear OS smartwatch, and exporting synchronized datasets in CSV format. Through a custom synchronization protocol and user-friendly interface, Colepp facilitates the generation of customizable, real-world datasets suitable for applications such as human activity recognition and heart rate estimation. A use case shows the effectiveness of the tool in producing consistent and synchronized signals. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_15565 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Colepp: uma ferramenta multiplataforma para coleta de dados de dispositivos vestiveis de Jesus, Vinicius Moraes Pacheco, Andre Georghton Cardoso Software Engineering The widespread adoption of wearable devices such as smartwatches and fitness trackers has fueled the demand for reliable physiological and movement data collection tools. However, challenges such as limited access to large, high-quality public datasets and a lack of control over data collection conditions hinder the development of robust algorithms. This work presents Colepp, an open-source, cross-platform tool designed to collect and synchronize data from multiple wearable devices, including heart rate (via ECG and PPG) and motion signals (accelerometer and gyroscope). The system integrates a smartphone as a central hub, receiving data from a Polar H10 chest strap and a Wear OS smartwatch, and exporting synchronized datasets in CSV format. Through a custom synchronization protocol and user-friendly interface, Colepp facilitates the generation of customizable, real-world datasets suitable for applications such as human activity recognition and heart rate estimation. A use case shows the effectiveness of the tool in producing consistent and synchronized signals. |
| title | Colepp: uma ferramenta multiplataforma para coleta de dados de dispositivos vestiveis |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2510.15565 |