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Authors: Daniela Genius and Roselyne Chotin

Affiliation: Sorbonne Université, LIP6, CNRS UMR 7606, Paris, France

Keyword(s): Embedded Systems, Analog/Mixed Signal Design, Virtual Prototyping.

Abstract: Wearable devices which capture and analyze physiological data in a non-invasive and not restraining manner are increasingly popular, but usually employ specialized hardware. Software is often limited, specific, and expensive. This paper shows how system-level modeling, virtual prototyping and electronic design can interact to help designing low-cost wearable bio-medical devices. We propose a design method which allows validation against actual electronic/mechanical prototypes and present a first case study, a daytime sleepiness detector.

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Paper citation in several formats:
Genius, D. and Chotin, R. (2022). Model to Hardware: System-level Modeling for Wearable Devices. In Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD; ISBN 978-989-758-550-0; ISSN 2184-4348, SciTePress, pages 387-394. DOI: 10.5220/0011005400003119

@conference{modelsward22,
author={Daniela Genius. and Roselyne Chotin.},
title={Model to Hardware: System-level Modeling for Wearable Devices},
booktitle={Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD},
year={2022},
pages={387-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011005400003119},
isbn={978-989-758-550-0},
issn={2184-4348},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - MODELSWARD
TI - Model to Hardware: System-level Modeling for Wearable Devices
SN - 978-989-758-550-0
IS - 2184-4348
AU - Genius, D.
AU - Chotin, R.
PY - 2022
SP - 387
EP - 394
DO - 10.5220/0011005400003119
PB - SciTePress