research-article

A model-based approach to support smart and social home living

Authors:

Shoko Nakamura,

Akihito Hiromori,

Hirozumi Yamaguchi,

Teruo HigashinoAuthors Info & Claims

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 1101 - 1105

https://doi.org/10.1145/2750858.2805835

Published: 07 September 2015 Publication History

Abstract

A system to improve the quality of human life is developed and proposed. A model-based approach is used where smart home residents, appliances, energy sources and correlations among them are comprehensively modeled. The model was integrated with activity recognition information that enables the system to suggest smart life tips that provide advice to residents in a non-intrusive way. A crowd-sourced large-scale survey of 1,000 subjects was conducted that enabled important tips for improving the quality of human life to be quantified. On the basis of the survey results, quantitative metrics and strategies were designed for presenting suitable tips in a timely manner depending on the lifestyle of subjects. The system was evaluated by (1) 34 actual subjects in virtual smart homes and (2) family members in an actual house in an experiment lasting more than one month in which actual sensors were deployed.

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Cited By

Yamaguchi HRizk HAmano THiromori AUkyo RYamada SOhno M(2024)Towards intelligent environments: human sensing through 3D point cloudJournal of Reliable Intelligent Environments10.1007/s40860-024-00234-y10:3(281-298)Online publication date: 6-Aug-2024
https://doi.org/10.1007/s40860-024-00234-y
Abdelhak EFethallah HMohammed M(2021)Selecting IoT Services Under Uncertain QoSAdvances in Computing Systems and Applications10.1007/978-3-030-69418-0_20(220-230)Online publication date: 21-Feb-2021
https://doi.org/10.1007/978-3-030-69418-0_20
Kitbutrawat NYamaguchi HHigashino T(2019)EasyTrack: Zero-Calibration Smart-Home Tracking SystemJournal of Information Processing10.2197/ipsjjip.27.44527(445-455)Online publication date: 2019
https://doi.org/10.2197/ipsjjip.27.445
Show More Cited By

Index Terms

A model-based approach to support smart and social home living
1. Information systems
  1. Information systems applications

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Published In

cover image ACM Conferences

UbiComp '15: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2015

1302 pages

ISBN:9781450335744

DOI:10.1145/2750858

General Chairs:
Kenji Mase
Nagoya University, JP
,
Marc Langheinrich
Università della Svizzera italiana (USI), CH
,
Daniel Gatica-Perez
IDIAP-EPFL, CH
,
Program Chairs:
Hans Gellersen
Lancaster University, UK
,
Tanzeem Choudhury
Cornell University
,
Koji Yatani
Univerisity of Tokyo, JP

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Yahoo! Japan: Yahoo! Japan
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
FX Palo Alto Laboratory, Inc.: FX Palo Alto Laboratory, Inc.
Google Inc.
ACM: Association for Computing Machinery
Rakuten Institute of Technology: Rakuten Institute of Technology
Microsoft: Microsoft
Bell Labs: Bell Laboratories
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
KDDI
Panasonic: Panasonic Corporation
NTT DoCoMo
Telefónica: Telefónica
ISTC-PC: Intel Science and Technology Center for Pervasive Computing

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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Research-article

Funding Sources

Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan
JSPS KAKENHI

Conference

UbiComp '15

Sponsor:

Yahoo! Japan
SIGMOBILE
FX Palo Alto Laboratory, Inc.
ACM
Rakuten Institute of Technology
Microsoft
Bell Labs
SIGCHI
Panasonic
Telefónica
ISTC-PC

UbiComp '15: The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 7 - 11, 2015

Osaka, Japan

Acceptance Rates

UbiComp '15 Paper Acceptance Rate 101 of 394 submissions, 26%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Upcoming Conference

UbiComp '24

Sponsor:
sigchi
sigchi

The 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing

October 5 - 9, 2024

Melbourne , VIC , Australia

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Cited By

Yamaguchi HRizk HAmano THiromori AUkyo RYamada SOhno M(2024)Towards intelligent environments: human sensing through 3D point cloudJournal of Reliable Intelligent Environments10.1007/s40860-024-00234-y10:3(281-298)Online publication date: 6-Aug-2024
https://doi.org/10.1007/s40860-024-00234-y
Abdelhak EFethallah HMohammed M(2021)Selecting IoT Services Under Uncertain QoSAdvances in Computing Systems and Applications10.1007/978-3-030-69418-0_20(220-230)Online publication date: 21-Feb-2021
https://doi.org/10.1007/978-3-030-69418-0_20
Kitbutrawat NYamaguchi HHigashino T(2019)EasyTrack: Zero-Calibration Smart-Home Tracking SystemJournal of Information Processing10.2197/ipsjjip.27.44527(445-455)Online publication date: 2019
https://doi.org/10.2197/ipsjjip.27.445
Honda YYamaguchi HHigashino T(2019)Enabling Low Cost Elderly Monitoring for Connected Communities in Depopulated Area2019 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP.2019.00079(401-408)Online publication date: Jun-2019
https://doi.org/10.1109/SMARTCOMP.2019.00079
Kitbutrawat NPortet FYamaguchi HHigashino T(2019)Automatic Localization of Passive Infra-Red Binary Sensors in Home: from Dense to Scattered Network2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00154(848-853)Online publication date: Aug-2019
https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00154
Honda YYamaguchi HHigashino T(2019)Daily Activity Recognition based on Markov Logic Network for Elderly Monitoring2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC.2019.8651817(1-6)Online publication date: 11-Jan-2019
https://dl.acm.org/doi/10.1109/CCNC.2019.8651817
Araki TDoi CIkeda DKatagiri MKuwata SKawasaki T(2018)Enhancing Money Saving Tips Recommendation System by Pairwise Preferences2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)10.1109/AINA.2018.00082(520-527)Online publication date: May-2018
https://doi.org/10.1109/AINA.2018.00082
Kitbutrawat NYamaguchi HHigashino T(2017)Localization of binary motion sensors in house2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)10.1109/IWCMC.2017.7986444(1132-1137)Online publication date: Jun-2017
https://doi.org/10.1109/IWCMC.2017.7986444
Jin XChun SJung JLee K(2017)A fast and scalable approach for IoT service selection based on a physical service modelInformation Systems Frontiers10.1007/s10796-016-9650-119:6(1357-1372)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s10796-016-9650-1
Nakahara KYamaguchi HHigashino THara TShigeno H(2016)In-home Activity and Micro-motion Logging Using Mobile Robot with KinectAdjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services10.1145/3004010.3004027(106-111)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/3004010.3004027
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