H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing
<|reference_start|>H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection Symptoms Monitoring and Contact Tracing: The novel COVID-19 disease has been declared a pandemic event. Early detection of infection symptoms and contact tracing are playing a vital role in containing COVID-19 spread. As demonstrated by recent literature, multi-sensor and connected wearable devices might enable symptom detection and help tracing contacts, while also acquiring useful epidemiological information. This paper presents the design and implementation of a fully open-source wearable platform called H-Watch. It has been designed to include several sensors for COVID-19 early detection, multi-radio for wireless transmission and tracking, a microcontroller for processing data on-board, and finally, an energy harvester to extend the battery lifetime. Experimental results demonstrated only 5.9 mW of average power consumption, leading to a lifetime of 9 days on a small watch battery. Finally, all the hardware and the software, including a machine learning on MCU toolkit, are provided open-source, allowing the research community to build and use the H-Watch.<|reference_end|>
@article{polonelli2024h-watch:,
    title={H-Watch: An Open, Connected Platform for AI-Enhanced COVID19 Infection
  Symptoms Monitoring and Contact Tracing},
    author={Tommaso Polonelli, Lukas Schulthess, Philipp Mayer, Michele Magno,
  Luca Benini},
    journal={arXiv preprint arXiv:2407.21501},
    year={2024},
    doi={0.1109/ISCAS51556.2021.9401362},
    archivePrefix={arXiv},
    eprint={2407.21501},
    primaryClass={eess.SY cs.SY}
}