Paper Info
Title
Building health persona from personal data streams
Abstract
Most people already use phones with myriad sensors that continuously generate data streams related to most aspects of their life. By detecting events in basic data streams and correlating and reasoning among them, it is possible to create a chronicle of personal life. We call it Personicle and use this to build individual Health Persona. Such Health Persona may then be used for understanding societal health as well as making decisions in emerging Social Life Networks. In this paper, we present a framework that collects, manages, and correlates personal data from heterogeneous data sources and detects events happening at personal level to build health persona. We use several data streams such as motion tracking, location tracking, activity level, and personal calendar data. We illustrate how two recognition algorithms based on Formal Concept Analysis and Decision Trees can be applied to Life Event detection problem. Also, we demonstrate the applicability of this framework on simulated data from Moves app, GPS, Nike fuel band, and Google calendar. We expect to soon have results for several individuals using real data streams from disparate wearable and smart phone sensors.
Year
DOI
Venue
2013
10.1145/2509352.2509400
PDM@ACM Multimedia
Keywords
Field
DocType
correlates personal data,personal life,basic data stream,real data stream,personal level,simulated data,heterogeneous data source,personal data stream,building health persona,personal calendar data,health persona,data stream
Personal life,Decision tree,Data stream mining,World Wide Web,Computer science,Wearable computer,Persona,Global Positioning System,Formal concept analysis,Match moving
Conference
Citations 
PageRank 
References 
4
0.53
22
Authors
2
Name
Order
Citations
PageRank
Laleh Jalali1406.19
Ramesh Jain276301861.65