About: Fuzzy Intelligence in Monitoring Older Adults with Wearables

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Fuzzy Intelligence in Monitoring Older Adults with Wearables
Creator	Mrozek, Dariusz Duszenko, Adam Law Kozielski, Stanis Ma Lysiak-Mrozek, Bożena Milik, Mateusz Tokarz, Krzysztof
Source	PMC
abstract	Monitoring older adults with wearable sensors and IoT devices requires collecting data from various sources and proliferates the number of data that should be collected in the monitoring center. Due to the large storage space and scalability, Clouds became an attractive place where the data can be stored, processed, and analyzed in order to perform the monitoring on large scale and possibly detect dangerous situations. The use of fuzzy sets in the monitoring and detection processes allows incorporating expert knowledge and medical standards while describing the meaning of various sensor readings. Calculations related to fuzzy processing and data analysis can be performed on the Edge devices which frees the Cloud platform from performing costly operations, especially for many connected IoT devices and monitored people. In this paper, we show a solution that relies on fuzzy rules while classifying health states of monitored adults and we investigate the computational cost of rules evaluation in the Cloud and on the Edge devices.
has issue date	2020-05-25(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50426-7_22
has license	no-cc
sha1sum (hex)	0bafea46c1a1b57ea327df699502a75bf94bc875
schema:url	https://doi.org/10.1007/978-3-030-50426-7_22
resource representing a document's title	Fuzzy Intelligence in Monitoring Older Adults with Wearables
has PubMed Central identifier	PMC7302848
schema:publication	Computational Science - ICCS 2020
resource representing a document's body	covid:0bafea46c1a1b57ea327df699502a75bf94bc875#body_text
is schema:about of	named entity 'Cloud platform' named entity 'older adults' named entity 'devices' named entity 'solution' named entity 'monitored' named entity 'meaning' named entity 'monitoring' named entity 'Adults' named entity 'WHERE' named entity 'COLLECTED' named entity 'KNOWLEDGE' named entity 'READINGS' named entity 'CLOUDS' named entity 'RELATED' named entity 'RULES' named entity 'PLACE' named entity 'LARGE' named entity 'VARIOUS' named entity 'SENSORS' named entity 'SENSOR' named entity 'DATA' named entity 'MONITORED' named entity 'devices' named entity 'Cloud' named entity 'attractive' named entity 'sensor' named entity 'IoT' named entity 'computational cost' named entity 'IoT' named entity 'fuzzy sets' named entity 'wearable sensors' named entity 'monitoring' named entity 'data transmission' named entity 'fuzzy logic' named entity 'Cloud' named entity 'fuzzy sets' named entity 'Message Queue' named entity 'physiological parameters' named entity 'fuzzy sets' named entity 'smart band' named entity 'product life cycle' named entity 'IoT' named entity 'fuzzy logic' named entity 'network congestion' named entity 'IoT' named entity 'sensor' named entity 'Cloud' named entity 'heart rate' named entity 'older adults' named entity 'Bluetooth Low Energy' named entity 'data processing' named entity 'IoT' named entity 'digital twin' named entity 'daily lives' named entity 'physiological parameters' named entity 'unit of time' named entity 'IoT' named entity 'personal devices' named entity 'heart attack' named entity 'IoT' named entity 'Telemetry' named entity 'older people' named entity 'fuzzy logic' named entity 'connected devices' named entity 'industrial automation' named entity 'Stream Processing' named entity 'Wearable devices' named entity 'phone calls' named entity 'fuzzy logic' named entity 'fuzzy sets' named entity 'stream processing units' named entity 'IoT' named entity 'mobile application' named entity 'Internet' named entity 'BLE' named entity 'IoT' named entity 'IoT' named entity 'latency'

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