Extending the battery lifetime of wearable sensors with embedded machine learning

X Fafoutis, L Marchegiani, A Elsts… - 2018 IEEE 4th World …, 2018 - ieeexplore.ieee.org
Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …
被引用次数：78 相关文章

Extending the battery lifetime of wearable sensors with embedded machine learning

X Fafoutis, L Marchegiani, A Elsts… - 4th IEEE World …, 2018 - research-information.bris.ac.uk
Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …

[引用][C] Extending the Battery Lifetime of Wearable Sensors with Embedded Machine Learning

X Fafoutis, M Marchegiani, A Elsts, J Pope… - Proceedings of the 4th …, 2018 - air.unipr.it
Extending the Battery Lifetime of Wearable Sensors with Embedded Machine Learning IRIS
IRIS Home Sfoglia Macrotipologie & tipologie Autore Titolo Riviste Serie IT Italiano Italiano …
[PDF] github.io

[PDF][PDF] Extending the Battery Lifetime of Wearable Sensors with Embedded Machine Learning

X Fafoutis, L Marchegiani, A Elsts, J Pope, R Piechocki… - letizia-marchegiani.github.io
Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …
[PDF] dtu.dk

[PDF][PDF] Extending the Battery Lifetime of Wearable Sensors with Embedded Machine Learning

X Fafoutis, L Marchegiani, A Elsts, J Pope, R Piechocki… - compute.dtu.dk
Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …
[PDF] academia.edu

[PDF][PDF] Extending the Battery Lifetime of Wearable Sensors with Embedded Machine Learning

X Fafoutis, L Marchegiani, A Elsts, J Pope, R Piechocki… - academia.edu
Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …

Extending the battery lifetime of wearable sensors with embedded machine learning

X Fafoutis, L Marchegiani, A Elsts, J Pope… - IEEE World Forum on …, 2018 - ir.una.edu
Extending the battery lifetime of wearable sensors with embedded machine learning -
Repository of Open Access Research (RoOAR) Skip to main content Home About Help Contact …
[PDF] core.ac.uk

[PDF][PDF] Extending the Battery Lifetime of Wearable Sensors with Embedded Machine Learning

X Fafoutis, L Marchegiani, A Elsts, J Pope, R Piechocki… - core.ac.uk
Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …
[PDF] dtu.dk

[PDF][PDF] Extending the Battery Lifetime of Wearable Sensors with Embedded Machine Learning

X Fafoutis, L Marchegiani, A Elsts, J Pope, R Piechocki… - compute.dtu.dk
Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …
[PDF] academia.edu

[PDF][PDF] Extending the Battery Lifetime of Wearable Sensors with Embedded Machine Learning

X Fafoutis, L Marchegiani, A Elsts, J Pope, R Piechocki… - academia.edu
Smart health home systems and assisted living architectures rely on severely energy-
constrained sensing devices, such as wearable sensors, for the generation of data and their …