Model to Hardware: System-level Modeling for Wearable Devices

Daniela Genius, Roselyne Chotin

2022

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.

Paper Citation

in Harvard Style

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 - Volume 1: MODELSWARD, ISBN 978-989-758-550-0, pages 387-394. DOI: 10.5220/0011005400003119

in Bibtex Style

@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 - Volume 1: MODELSWARD,},
year={2022},
pages={387-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011005400003119},
isbn={978-989-758-550-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Model to Hardware: System-level Modeling for Wearable Devices
SN - 978-989-758-550-0
AU - Genius D.
AU - Chotin R.
PY - 2022
SP - 387
EP - 394
DO - 10.5220/0011005400003119