Diabetic patient care using home user activity recognition

Young-Sung  Son; Jun Jo; Jun Hee Park; Topi Pulkkinen

doi:10.1109/ICTC.2013.6675337

Diabetic patient care using home user activity recognition

Young-Sung Son, Jun Jo, Jun Hee Park, Topi Pulkkinen

VTT Technical Research Centre of Finland

Electronics and Telecommunications Research Institute (ETRI)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2013 International Conference on ICT Convergence (ICTC)
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	191-196
ISBN (Electronic)	978-1-4799-0698-7
DOIs	https://doi.org/10.1109/ICTC.2013.6675337
Publication status	Published - 2013
MoE publication type	A4 Article in a conference publication
Event	International Conference on ICT Convergence, ICTC 2013 - Jeju Island, Korea, Republic of Duration: 14 Oct 2013 → 16 Oct 2013

Publication series

Series	International Conference on ICT Convergence
Volume	2013
ISSN	2162-1233

Conference

Conference	International Conference on ICT Convergence, ICTC 2013
Abbreviated title	ICTC 2013
Country/Territory	Korea, Republic of
City	Jeju Island
Period	14/10/13 → 16/10/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICTC.2013.6675337

Cite this

@inproceedings{1f6958f0de4d434b8a88b1580658b847,

title = "Diabetic patient care using home user activity recognition",

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.",

author = "Young-Sung Son and Jun Jo and {Hee Park}, Jun and Topi Pulkkinen",

year = "2013",

doi = "10.1109/ICTC.2013.6675337",

language = "English",

series = "International Conference on ICT Convergence",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

pages = "191--196",

booktitle = "2013 International Conference on ICT Convergence (ICTC)",

address = "United States",

note = "International Conference on ICT Convergence, ICTC 2013, ICTC 2013 ; Conference date: 14-10-2013 Through 16-10-2013",

}

Son, Y-S, Jo, J, Hee Park, J & Pulkkinen, T 2013, Diabetic patient care using home user activity recognition. in 2013 International Conference on ICT Convergence (ICTC). IEEE Institute of Electrical and Electronic Engineers, International Conference on ICT Convergence, vol. 2013, pp. 191-196, International Conference on ICT Convergence, ICTC 2013, Jeju Island, Korea, Republic of, 14/10/13. https://doi.org/10.1109/ICTC.2013.6675337

Diabetic patient care using home user activity recognition. / Son, Young-Sung ; Jo, Jun; Hee Park, Jun et al.

2013 International Conference on ICT Convergence (ICTC). IEEE Institute of Electrical and Electronic Engineers, 2013. p. 191-196 (International Conference on ICT Convergence, Vol. 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

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AU - Jo, Jun

AU - Hee Park, Jun

AU - Pulkkinen, Topi

PY - 2013

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N2 - 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.

AB - 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.

U2 - 10.1109/ICTC.2013.6675337

DO - 10.1109/ICTC.2013.6675337

M3 - Conference article in proceedings

T3 - International Conference on ICT Convergence

SP - 191

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BT - 2013 International Conference on ICT Convergence (ICTC)

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - International Conference on ICT Convergence, ICTC 2013

Y2 - 14 October 2013 through 16 October 2013

ER -

Diabetic patient care using home user activity recognition

Abstract

Publication series

Conference

UN SDGs

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