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Andrea Ferlini - IEEE Xplore Author Profile
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Andrea Ferlini

Publications
5
Citations
42
Publications by Year
20192023
Co-Authors:
Show All Co-Authors (16)
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Andrea Ferlini

Affiliation

University of Cambridge, Cambridge, UK

Publication Topics

Biography

Andrea Ferlini is currently a third year Ph.D. student in mobile systems and communications at the University of Cambridge, Cambridge, U.K. His research interests focuses on earables (smart ear-worn wearables) for vital signs sensing. He received the M.Sc. degree cum laude in computer science from the University of Trento, Trento, Italy, in 2018 and UPMC-Sorbonne University, Paris, France. During the second year of the Ph.D., he interned at Nokia Bell Labs, Cambridge, U.K. He is the corresponding author of this article. Contact him at af679@cl.cam.ac.uk.(Based on document published on 8 December 2021).
Publications
5
Citations
42
Publications by Year
20192023
Co-Authors:
Show All Co-Authors (16)
Author's Published Works

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hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones

Kayla-Jade Butkow;Ting Dang;Andrea Ferlini;Dong Ma;Cecilia Mascolo

2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)
Year: 2023 | Conference Paper |
Cited by: Papers (12)
With the soaring adoption of in-ear wearables, the research community has started investigating suitable in-ear heart rate (HR) detection systems. HR is a key physiological marker of cardiovascular health and physical fitness. Continuous and reliable HR monitoring with wearable devices has therefore gained increasing attention in recent years. Existing HR detection systems in wearables mainly rely...Show More

hEARt: Motion-resilient Heart Rate Monitoring with In-ear Microphones

Kayla-Jade Butkow;Ting Dang;Andrea Ferlini;Dong Ma;Cecilia Mascolo

Year: 2023 | Conference Paper |

Mobile Health With Head-Worn Devices: Challenges and Opportunities

Andrea Ferlini;Dong Ma;Lorena Qendro;Cecilia Mascolo

IEEE Pervasive Computing
Year: 2022 | Volume: 21, Issue: 3 | Magazine Article |
Cited by: Papers (6)
Monitoring human behavior and health status using mobile devices, a.k.a. Mobile Health, has gained increasing attention from both academia and industry in recent years. It allows imperceptible health tracking from the users and remote health management from the healthcare service providers. Head-worn devices, such as earbuds, glasses, and brain–computer interfaces, exhibit great potential for mobi...Show More

Mobile Health With Head-Worn Devices: Challenges and Opportunities

Andrea Ferlini;Dong Ma;Lorena Qendro;Cecilia Mascolo

Year: 2022 | Volume: 21, Issue: 3 | Magazine Article |

In-Ear PPG for Vital Signs

Andrea Ferlini;Alessandro Montanari;Chulhong Min;Hongwei Li;Ugo Sassi;Fahim Kawsar

IEEE Pervasive Computing
Year: 2022 | Volume: 21, Issue: 1 | Magazine Article |
Cited by: Papers (18)
Earables are now pervasive, and their established purpose, ergonomy, and noninvasive interaction uncover exciting opportunities for sensing and healthcare research. However, it is critical to understand and characterize sensory measurements’ accuracy in earables impacting healthcare decisions. We report a systematic characterization of in-ear photoplethysmography (PPG) in measuring vital signs: he...Show More

In-Ear PPG for Vital Signs

Andrea Ferlini;Alessandro Montanari;Chulhong Min;Hongwei Li;Ugo Sassi;Fahim Kawsar

Year: 2022 | Volume: 21, Issue: 1 | Magazine Article |

Enabling In-Ear Magnetic Sensing: Automatic and User Transparent Magnetometer Calibration

Andrea Ferlini;Alessandro Montanari;Andreas Grammenos;Robert Harle;Cecilia Mascolo

2021 IEEE International Conference on Pervasive Computing and Communications (PerCom)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Earables (in-ear wearables) are a new frontier in wearables. Acting both as leisure devices, providing personal audio, as well as sensing platforms, earables could collect sensor data for the upper part of the body, subject to fewer vibrations and random movement variations than the lower parts of the body, due to inherent damping in the musculoskeletal system. These data may enable application do...Show More

Enabling In-Ear Magnetic Sensing: Automatic and User Transparent Magnetometer Calibration

Andrea Ferlini;Alessandro Montanari;Andreas Grammenos;Robert Harle;Cecilia Mascolo

Year: 2021 | Conference Paper |

Poster Abstract: C-Continuum: Edge-to-Cloud computing for distributed AI

Davide Aguiari;Andrea Ferlini;Jiannong Cao;Song Guo;Giovanni Pau

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Year: 2019 | Conference Paper |
Cited by: Papers (5)
Mobile autonomous systems are supposed to deeply impact in manufacturing, space exploration, rescue, defense, transportation, and everyday life. Autonomous air-ground vehicles, for example, will become normal tools in the next few years, providing a natural platform for distributed artificial intelligence applications including, for example, disaster rescue and recovery, area surveying, autonomous...Show More

Poster Abstract: C-Continuum: Edge-to-Cloud computing for distributed AI

Davide Aguiari;Andrea Ferlini;Jiannong Cao;Song Guo;Giovanni Pau

Year: 2019 | Conference Paper |

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