Life Pattern Sensor with Non-intrusive Appliance Monitoring

被引：0
|
作者：
Katsukura, Makoto [1 ]
Nakata, Masanori [1 ]
Itou, Yoshiaki [1 ]
Kushiro, Noriyuki [1 ]
机构：
[1] Mitsubishi Electr Corp, Living & Environm Syst Lab, Tokyo, Japan
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS | 2009年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a life pattern sensor with a new residents' behavior monitoring method for a health care system. The life pattern sensor detects operations of appliances from electrical current generated by their operating, and identifies patterns of daily residents' behavior based on the correlation of operating appliances. The sensor reduces the system cost by avoiding installation of massive sensor nodes and keeps residents' privacy without intrusion of the house, in comparison with legacy systems like the video-based health care system. The sensor is implemented by utilizing an algorithm with the wavelet transform method and installed in five real houses for a couple of weeks. Accuracy of the identifying appliance detection and the result of the life pattern estimation were evaluated through the field test.
引用
收藏
页码：195 / 196
页数：2
相关论文
共 50 条
  • [21] Non-Intrusive Appliance Identification with Appliance-Specific Networks
    Fang, Zhaoyuan
    Zhao, Dongbo
    Chen, Chen
    Li, Yang
    Tian, Yuting
    2019 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2019,
  • [22] Application of Neuro-Fuzzy Pattern Recognition for Non-intrusive Appliance Load Monitoring in Electricity Energy Conservation
    Lin, Yu-Hsiu
    Tsai, Men-Shen
    2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012,
  • [23] Non-intrusive Appliance Monitoring Now: Effective Data, Generative Modelling and LETE
    Chuang, Chi-Cheng
    Sung, Today J. T.
    Lin, Gu-Yuan
    Wen, Jimi Y. C.
    Chang, Ray-I
    PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON SMART GRIDS, GREEN COMMUNICATIONS AND IT ENERGY-AWARE TECHNOLOGIES (ENERGY 2011), 2011, : 81 - 86
  • [24] Comparative Study of Event Detection Methods for Non-intrusive Appliance Load Monitoring
    Yang, Chuan Choong
    Soh, Chit Siang
    Yap, Vooi Voon
    INTERNATIONAL CONFERENCE ON APPLIED ENERGY, ICAE2014, 2014, 61 : 1840 - 1843
  • [25] Multilabel Appliance Classification With Weakly Labeled Data for Non-Intrusive Load Monitoring
    Tanoni, Giulia
    Principi, Emanuele
    Squartini, Stefano
    IEEE TRANSACTIONS ON SMART GRID, 2023, 14 (01) : 440 - 452
  • [26] Multi-label LSTM autoencoder for non-intrusive appliance load monitoring
    Verma, Sagar
    Singh, Shikha
    Majumdar, Angshul
    ELECTRIC POWER SYSTEMS RESEARCH, 2021, 199
  • [27] Testing Applicability of Virtual Stochastic Sensors for Non-Intrusive Appliance Load Monitoring
    Krull, Claudia
    Thiel, Marcus
    Horton, Graham
    ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE, 2018, 337 : 119 - 134
  • [28] Incorporating Appliance Usage Patterns for Non-Intrusive Load Monitoring and Load Forecasting
    Welikala, Shirantha
    Dinesh, Chinthaka
    Ekanayake, Mervyn Parakrama B.
    Godaliyadda, Roshan Indika
    Ekanayake, Janaka
    IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (01) : 448 - 461
  • [29] Adaptive Weighted Recurrence Graphs for Appliance Recognition in Non-Intrusive Load Monitoring
    Faustine, Anthony
    Pereira, Lucas
    Klemenjak, Christoph
    IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (01) : 398 - 406
  • [30] Phase noise as power characteristic of individual appliance for non-intrusive load monitoring
    Lee, D.
    ELECTRONICS LETTERS, 2018, 54 (16) : 994 - 995
12345