Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

SenseSeer, mobile-cloud-based lifelogging framework

Albatal, Rami orcid logoORCID: 0000-0002-9269-8578, Gurrin, Cathal orcid logoORCID: 0000-0003-4395-7702, Zhou, Jiang orcid logoORCID: 0000-0002-3067-8512, Yang, Yang, Carthy, Denise and Li, Na (2013) SenseSeer, mobile-cloud-based lifelogging framework. In: The IEEE International Symposium on Technology and Society (ISTAS) 2013, 27-29 June 2013, Toronto, Canada.

Abstract
Smart-phones are becoming our constant companions, they are with us all of the time, being used for calling, web surfing, apps, music listening, TV viewing, social networking, buying, gaming, and a myriad of other uses. Smart-phones are a technology that knows us much better than most of us could imagine. Based on our usage and the fact that we are never far away from our smart phones, they know where we go, who we interact with, what information we consume, and with a little clever software, they can know what we are doing and even why we are doing it. They are beginning to know us better than we know ourselves. In this work we present ”SenseSeer” a generic mobile-cloud-based mobile Lifelogging framework. This framework supports customisable analytic services for sensing the person, understanding the semantics of life activities and the easy deployment of analytic tools and novel interfaces. At present, SenseSeer supports services in many domains, such as personal health monitoring, location tracking, lifestyle analysis and tourism focused applications. This work demonstrate the design principles of SenseSeer and three of its services: My Health, My Location and My Social Activity.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Personal logging; Personal monitoring; Semantics
Subjects:Computer Science > Lifelog
Computer Science > Multimedia systems
DCU Faculties and Centres:Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland
ID Code:19593
Deposited On:23 Oct 2013 14:49 by Rami Albatal . Last Modified 19 May 2021 11:03
Documents

Full text available as:

[thumbnail of AlbatalISTAS13.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
223kB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record