DocumentCode :
649637
Title :
Diabetic patient care using home user activity recognition
Author :
Young-Sung Son ; Jun Jo ; Jun-Hee Park ; Pulkkinen, T.
Author_Institution :
Smart Green Life Dept., Electron. & Telecommun. Res. Inst. (ETRI), Daejeon, South Korea
fYear :
2013
fDate :
14-16 Oct. 2013
Firstpage :
191
Lastpage :
196
Abstract :
This paper describes user activity recognition in home network - several ways for developers to define some model for logging, analyzing, mining, measuring and recommending user´s activity. These activities are based on home networking between devices (gadgets, sensors, appliances, and some software applications at computers) and providing some standard interfaces for these activities. Users spend a lot of time at home and even if mobile gadget should be synced within home appliances. User´s life pattern can be achieved from some data such as network traffic, control data, energy consumption, pims (calendar, email, todo, and so on), contents and actual user´s profile. In this paper, we will explain how to care a diabetic patient using user activity recognition at home.
Keywords :
data mining; home computing; medical computing; patient care; control data; diabetic patient care; energy consumption; home appliances; home networking; home user activity recognition; mobile gadget; network traffic; pims; user activity analysis; user activity logging; user activity measuring; user activity mining; user activity recommending; user life pattern; user profile; data mining; diabetic patient careness; sensor data analysis; sensor logging; user activity recogniton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ICT Convergence (ICTC), 2013 International Conference on
Conference_Location :
Jeju
Type :
conf
DOI :
10.1109/ICTC.2013.6675337
Filename :
6675337
Link To Document :
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