Non-Intrusive Monitoring of Everyday Behavioral Activities in an Indoor Environment

被引:0
|
作者
Atika Arshad [1 ]
Sheroz Khan [1 ]
AHMZahirul Alam [1 ]
Rumana Tasnim [2 ]
机构
[1] the Department of Electrical and Computer Engineering, International Islamic University Malaysia
[2] the Department of Mechatronics Engineering, World University of
关键词
D O I
暂无
中图分类号
TP212.9 [传感器的应用];
学科分类号
摘要
A non-intrusive design for monitoring everyday activities of an elderly person is presented. The proposed system is intended to be used in the bedroom, allowing the elders to stay at home in a safe environment. The required hardware design is simple in structure and cost effective. The sensor design is implemented by using capacitive sensors and an Arduino microcontroller unit. And a real time graphical user interface is implemented to monitor the elderly person. The performance analysis shows that the sensor design is able to differentiate between a human body and a house pet.
引用
收藏
页码:205 / 210
页数:6
相关论文
共 50 条
  • [41] NON-INTRUSIVE AND NON-CONTACT SLEEP MONITORING WITH SEISMOMETER
    Li, Fangyu
    Clemente, Jose
    Song, WenZhan
    2018 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2018), 2018, : 449 - 453
  • [42] A Dataset for Non-Intrusive Load Monitoring: Design and Implementation
    Renaux, Douglas Paulo Bertrand
    Pottker, Fabiana
    Ancelmo, Hellen Cristina
    Lazzaretti, Andre Eugenio
    Lima, Carlos Raiumundo Erig
    Linhares, Robson Ribeiro
    Oroski, Elder
    Nolasco, Lucas da Silva
    Lima, Lucas Tokarski
    Mulinari, Bruna Machado
    da Silva, Jose Reinaldo Lopes
    Omori, Julio Shigeaki
    dos Santos, Rodrigo Braun
    ENERGIES, 2020, 13 (20)
  • [43] Review on key techniques of non-intrusive load monitoring
    Guo H.
    Lu J.
    Yang P.
    Liu Z.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2021, 41 (01): : 135 - 144
  • [44] Deep Learning Application to Non-Intrusive Load Monitoring
    Nguyen Viet Linh
    Arboleya, Pablo
    2019 IEEE MILAN POWERTECH, 2019,
  • [45] Non-Intrusive Load Monitoring Applied to AC Railways
    Mariscotti, Andrea
    ENERGIES, 2022, 15 (11)
  • [46] Detecting the novel appliance in non-intrusive load monitoring
    Guo, Xiaochao
    Wang, Chao
    Wu, Tao
    Li, Ruiheng
    Zhu, Houyi
    Zhang, Huaiqing
    APPLIED ENERGY, 2023, 343
  • [47] Disaggregating Transform Learning for Non-Intrusive Load Monitoring
    Gaur, Megha
    Majumdar, Angshul
    IEEE ACCESS, 2018, 6 : 46256 - 46265
  • [48] A survey of the research on non-intrusive load monitoring and disaggregation
    Cheng X.
    Li L.
    Wu H.
    Ding Y.
    Song Y.
    Sun W.
    Dianwang Jishu/Power System Technology, 2016, 40 (10): : 3108 - 3117
  • [49] Real time and non-intrusive driver fatigue monitoring
    Zhu, ZW
    Ji, Q
    ITSC 2004: 7TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, PROCEEDINGS, 2004, : 657 - 662
  • [50] On the Non-Intrusive Load Monitoring in dwellings: a feasibility perspective
    Fontana, Claudio
    Sanseverino, Eleonora Riva
    2021 21ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2021 5TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE), 2021,