Smart Connected Glasses for Drowsiness Detection: a System-Level Modeling Approach
| Autor: | Alain Pegatoquet, Alexis Arcaya-Jordan, Andrea Castagnetti |
|---|---|
| Přispěvatelé: | Laboratoire d'Electronique, Antennes et Télécommunications (LEAT), Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA), Ellcie-Heathy, IEEE, Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Battery (electricity)
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR] Computer science media_common.quotation_subject 0206 medical engineering Design flow Real-time computing Wearable computer QoS wearable device 02 engineering and technology driver safety applications 01 natural sciences Task (project management) Ellcie-healthy start-up Hardware 11. Sustainability Quality (business) [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] system-level modeling approach road safety applications vehicle drivers driver drowsiness detection application media_common smart connected glasses System level modeling Quality of service Payloads 010401 analytical chemistry Eyelids Vehicles 020601 biomedical engineering analytical power consumption models Light emitting diodes 0104 chemical sciences Power (physics) system-level power modeling approach driver information systems quality of service Power demand embedded systems [INFO.INFO-ES]Computer Science [cs]/Embedded Systems Glass road safety |
| Zdroj: | 2019 IEEE Sensors Applications Symposium (SAS) (SAS 2019) 2019 IEEE Sensors Applications Symposium (SAS) (SAS 2019), Mar 2019, Sophia Antipolis, France. pp.1-6, ⟨10.1109/SAS.2019.8706022⟩ SAS |
| DOI: | 10.1109/SAS.2019.8706022⟩ |
| Popis: | International audience; Road safety applications based on embedded systems are becoming increasingly reliable for the assistance of vehicle drivers. Cars start to be equipped with applications such as the detection of falling asleep at the wheel. The Ellcie-Healthy start-up is developing smart connected glasses, a wearable device designed for e-Health and driver safety applications that embeds a driver drowsiness detection application. As size and cost arecritical, the capacity of the battery on this wearable device is very limited. In consequence, finding the best compromise between the autonomy of the system and its performance is a challenging task. Therefore, estimating both the power consumption of the device and the QoS of the application for a particular system configuration has to be performed early in the design flow. In this paper, we propose a system-level modeling approach based onanalytical power consumption models to estimate the autonomy of the connected glasses while considering the quality of theresulting sensor measurements. Obtained results demonstrate the benefits of our system-level power modeling approach to find the best trade-off between QoS and autonomy. |
| Databáze: | OpenAIRE |
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