Yahnnosh/Sensor-Based-Modeling-of-Fatigue-Using-Transformer-Model

Repository for the semester project "Sensor-Based Modeling of Fatigue Using Transformer Model" at ETH AI Center (Fall semester 2022)

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Experimental

This project offers an automated way to monitor physical and mental fatigue, moving beyond slow and subjective questionnaires. It takes physiological data from wearable sensors and processes it to provide real-time or near real-time assessments of fatigue levels. This tool is for researchers, healthcare professionals, or product developers aiming to integrate objective fatigue monitoring into health applications or clinical studies.

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Use this if you need to objectively measure fatigue using sensor data, especially when dealing with missing data in physiological signals from wearables.

Not ideal if you require a ready-to-use commercial product for fatigue monitoring, as this project provides research models and methodologies rather than a plug-and-play solution.

fatigue-monitoring wearable-tech physiological-data health-monitoring clinical-research
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Adoption 4 / 25
Maturity 16 / 25
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Jupyter Notebook

License

MIT

Last pushed

Apr 16, 2023

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