Proceedings of the 18th International Database Engineering &Amp; Applications Symposium on - IDEAS '14 2014
DOI: 10.1145/2628194.2628217
|View full text |Cite
|
Sign up to set email alerts
|

Cloud based solution for mobile healthcare application

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
13
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 17 publications
(13 citation statements)
references
References 11 publications
0
13
0
Order By: Relevance
“…There are three main categories of sensors  Movement sensors -are able to measure the rotation force in three axis environment. Accelerometers, gravitation and rotation sensors are movement sensor (Cimler et al, 2014).  Environment sensors -measures environment conditions such as temperature, pressure, light intensity or moisture.…”
Section: A Architecture Of Mobile Health Using Sensing Technologymentioning
confidence: 99%
See 3 more Smart Citations
“…There are three main categories of sensors  Movement sensors -are able to measure the rotation force in three axis environment. Accelerometers, gravitation and rotation sensors are movement sensor (Cimler et al, 2014).  Environment sensors -measures environment conditions such as temperature, pressure, light intensity or moisture.…”
Section: A Architecture Of Mobile Health Using Sensing Technologymentioning
confidence: 99%
“… Position sensors -monitors the physical position of the device by orientation sensors and magnetometers (Ko et al, 2010). Android sensor framework contains several classes and interfaces to access sensors and gather raw data (Cimler et al, 2014). Some of these tasks are  Determining availability of sensors (Cimler et al, 2014).…”
Section: A Architecture Of Mobile Health Using Sensing Technologymentioning
confidence: 99%
See 2 more Smart Citations
“…Data can be uploaded to the cloud and the cloud can integrate pieces of observations from mobile devices and utilize data analytics techniques to mine and visualize trends or patterns embedded in massive data collected in parallel at runtime from millions of mobile devices. For instance, given a severe natural disaster, people nearby can send photos taken from the cameras in their smartphones to the cloud, and the cloud server can process these data, analyze possible crucial points, and plot a detailed map, covering not only visible objects but also invisible physical phenomena, Crowdsourcing (crowd computing) [19][20][21] Collective sensing [22][23][24][25] Traffic/environment monitoring [26][27][28][29] Mobile cloud social networking [30][31][32] Mobile cloud healthcare [33][34][35] Location-based mobile cloud service [36,37] Augmented reality and mobile gaming [38,39] such as the presence of poisonous air to help facilitating the rescue mission. With potentially unlimited storage and processing power, MCC brings out potential killer applications.…”
Section: Emerging and Future MCC Applicationsmentioning
confidence: 99%