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
  • [31] Non-intrusive refractometer sensor
    Nath, Pabitra
    PRAMANA-JOURNAL OF PHYSICS, 2010, 74 (04): : 661 - 668
  • [32] Non-intrusive refractometer sensor
    Pabitra Nath
    Pramana, 2010, 74 : 661 - 668
  • [33] Non-Intrusive Load Monitoring
    Fortuna, Luigi
    Buscarino, Arturo
    SENSORS, 2022, 22 (17)
  • [34] EVALUATION OF NON-INTRUSIVE LOAD MONITORING ALGORITHMS FOR APPLIANCE-LEVEL ANOMALY DETECTION
    Rashid, Haroon
    Stankovic, Vladimir
    Stankovic, Lina
    Singh, Pushpendra
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 8325 - 8329
  • [35] Non-Intrusive Load Monitoring Method for Appliance Identification Using Random Forest Algorithm
    Nuran, Andi Shridivia
    Murti, Muhammad Ary
    Suratman, Fiky Y.
    2023 IEEE 13TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE, CCWC, 2023, : 754 - 758
  • [36] Competitive Autoassociative Neural Networks for Electrical Appliance Identification for Non-Intrusive Load Monitoring
    Morais, Lorena R.
    Castro, Adriana R. G.
    IEEE ACCESS, 2019, 7 : 111746 - 111755
  • [37] Energy consumption prediction of a smart home using non-intrusive appliance load monitoring
    Lazhar Chabane
    Said Drid
    Larbi Chrifi-Alaoui
    Laurant Delahoche
    International Journal of System Assurance Engineering and Management, 2024, 15 : 1231 - 1244
  • [38] A Scenario-Based Stochastic Optimization Approach for Non-Intrusive Appliance Load Monitoring
    Shahroz, Muhammad
    Younis, Muhammad Shahzad
    Nasir, Hasan Arshad
    IEEE ACCESS, 2020, 8 : 142205 - 142217
  • [39] Non-intrusive Appliance Load Monitoring Based on Multi-Source Feature Quantity
    Fang, Jicheng
    Huang, Li
    2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019), 2019, : 1497 - 1502
  • [40] Can non-intrusive load monitoring be used for identifying an appliance's anomalous behaviour?
    Rashid, Haroon
    Singh, Pushpendra
    Stankovic, Vladimir
    Stankovic, Lina
    APPLIED ENERGY, 2019, 238 (796-805) : 796 - 805