A Digital Implementation of Eddystone Standard Using IBM 180nm Cell Library

Pereira, Rodrigo Vinicius Mendonça; Sousa, Francinalva Cordeiro de; Bezerra, Eduardo Augusto; Berejuck, Marcelo Daniel

doi:10.1109/sbesc.2017.28

Cited by 2 publications

(3 citation statements)

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“…Eddystone is a cross-platform, open-source beacon standard introduced by Google, similar to Apple iBeacon standard [36], but differing from it because it can be adopted without restrictions (it is compatible with both Android and IOS devices). Eddystone advertising employs beacons disseminated in the environment, in order to provide the user with a better indication of the objects and places around her/him [37] in a Physical Web IoT paradigm [38]. The Eddystone advertising frame format is a good starting point for the design of dedicated BLE advertising frame format, being it fully compliant with gateways and devices already present on the market.…”

Section: Eddystone Ble Advertisingmentioning

confidence: 99%

“…Eddystone defines several frame types [37] that can be advertised individually or in combination, such as:…”

Section: Eddystone Ble Advertisingmentioning

confidence: 99%

“…Electronics 2020, 9, x FOR PEER REVIEW 8 of 22 frame format is a good starting point for the design of dedicated BLE advertising frame format, being it fully compliant with gateways and devices already present on the market. Eddystone defines several frame types[37] that can be advertised individually or in combination, such as:…”

mentioning

confidence: 99%

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An IoT Smart Environment in Support of Disease Diagnosis Decentralization

Andreadis

Zambon

2020

Electronics

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The percentage of seniors in the global population is constantly growing and solutions in the field of fall detection and early detection of neuro-degenerative pathologies have a crucial role in order to increase life expectancy and quality of life. This study aims to extend fall detection and effective recognition of early signs of diseases to new smart environments, conceiving the decentralization of diagnostic monitoring in everyday life activities in a more pervasive paradigm. Inspiring to research outcomes, in this work an architecture is designed to detect falls in crowded indoor environments during events/exhibitions, for favoring a timely and effective intervention. It also foresees a continue monitoring of the gait for seniors during the visit, thus extracting key features which are stored on a dedicated database. The proposed solution allows third party researchers to perform analysis on the obtained gait datasets, through the adoption of advanced data-mining techniques for the detection of early signs of neuro-degenerative diseases and other pathologies. The architecture designed here aims to provide a step forward concerning the extension of smart monitoring environments for the detection of falls and early signs of pathologies in everyday life, in a more pervasive and decentralized paradigm.

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Section: Eddystone Ble Advertisingmentioning

confidence: 99%

“…Eddystone defines several frame types [37] that can be advertised individually or in combination, such as:…”

Section: Eddystone Ble Advertisingmentioning

confidence: 99%