An Approach of Using Contexts for In-home Activity Recognition and Forecast

被引：0
|
作者：
Tien Le [1 ]
Duy Nguyen [2 ]
Son Nguyen [3 ]
机构：
[1] VNU, IU, Sch Engn & Comp Sci, Ho Chi Minh City, Vietnam
[2] Binh Duong Univ, Bolt Inst, Dept Informat Technol, Thu Dau Mot City, Binh Duong Prov, Vietnam
[3] VNU, UIT, Dept Comp Engn, Ho Chi Minh City, Vietnam
来源：
PROCEEDINGS OF 2016 THE 2ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS | 2016年
关键词：
Smart home; activity recognition; activity forecast; in-home contexts; sensor systems;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Smart home is one of the most important applications of ubiquitous computing. In this work, we propose an infrastructure of Vietnamese Smart homes as well as a training framework for activity recognition and forecast. In this framework, active learning technique is applied and a new mining algorithm is proposed. In addition to activity recognition, a forecast mechanism is also added into the smart home simulation system by using activity sequence as an extra type of in-home contexts. Experiment results show that the system efficiency is improved when compared to the previous work of Enamul Hoque et al.
引用
收藏
页码：182 / 186
页数：5
相关论文
共 50 条
  • [31] In-Home Activity Monitoring in Frail Elders: A New Measure of Function
    Mohler, J.
    D'Huyvetter, K.
    Schwenk, M.
    Wendel, C.
    Grewal, G.
    Fain, M. J.
    Brown, C. J.
    Najafi, B.
    JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 2013, 61 : S48 - S49
  • [32] Integration of an environmental sound module to an existing in-home activity simulator
    Virone, Gilles
    Istrate, Dan
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 3810 - 3813
  • [33] Unobtrusive In-Home Respiration Monitoring Using a Toilet Seat
    Goyal, Krittika
    Borkholder, David A.
    Day, Steven W.
    2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22), 2022,
  • [34] Towards Detecting Inactivity Using an In-Home Monitoring System
    Moshtaghi, Masud
    Zukerman, Ingrid
    Russell, R. Andrew
    Albrecht, David
    PROCEEDINGS OF THE 2013 IEEE 8TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2013, : 935 - 940
  • [35] Modeling Approach of Broadband In-home PLC in Network Simulator 3
    Tsokalo, Ievgenii
    Lehnert, Ralf
    2015 INTERNATIONAL SYMPOSIUM ON POWER LINE COMMUNICATIONS AND ITS APPLICATIONS (ISPLC), 2015, : 113 - 118
  • [36] Modeling household interactions in daily in-home and out-of-home maintenance activity participation
    Srinivasan, S
    Bhat, CR
    TRANSPORTATION, 2005, 32 (05) : 523 - 544
  • [37] Diabetic Patient Care using Home User Activity Recognition
    Son, Young-Sung
    Jo, Jun
    Park, Jun-Hee
    Pulkkinen, Topi
    2013 INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2013): FUTURE CREATIVE CONVERGENCE TECHNOLOGIES FOR NEW ICT ECOSYSTEMS, 2013, : 191 - 196
  • [38] Home and Office Automation System Using Human Activity Recognition
    Gladence, Mary L.
    Sivakumar, Hari Haran
    Venkatesan, Gobinath
    Priya, Shanmuga S.
    2017 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), 2017, : 758 - 762
  • [39] Home Activity Recognition Using Aggregated Electricity Consumption Data
    Ishizu, Kotaro
    Mizumoto, Teruhiro
    Yamaguchi, Hirozumi
    Higashino, Teruo
    2020 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP), 2020, : 302 - 307
  • [40] Complex Activity Recognition Using Context Driven Activity Theory in Home Environments
    Saguna
    Zaslavsky, Arkady
    Chakraborty, Dipanjan
    SMART SPACES AND NEXT GENERATION WIRED/WIRELESS NETWORKING, 2011, 6869 : 38 - 50
12345