Capacitive proximity floor sensing system for elderly tracking and fall detection

被引:0
|
作者
Arshad, Atika [1 ]
Khan, Sheroz [1 ]
Alam, A. H. M. Zahirul [1 ]
Ismail, Ahmad Fadzil [1 ]
Tasnim, Rumana [2 ]
机构
[1] Int Islamic Univ Malaysia, Dept Elect & Comp Engn, Selangor, Malaysia
[2] World Univ Bangladesh, Dept Mechatron Engn, Dhaka, Bangladesh
关键词
occupancy sensor; capacitive sensors; embedded systems; senior citizen; floor sensing;
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
With the advent and progress of technology, care of senior individuals requires spontaneous and timely decisions to be made so that life protecting and saving therapy can be delivered promptly. Research shows that assistive technology can provide systems to aid in the prevention and detection of injuries to seniors, leading to a faster response from monitoring personnel. Falls make one of the major injuries caused to seniors whereby they are often unable to receive proper and timely support. This work reports the preliminary results on the development of a capacitive-based sensing system for monitoring of inhabitants living on their own in elderly homes. The tracking and fall monitoring of elderly is based on floor-sensing model equipped with an occupancy mechanism. To perceive and recognise the behavioural changes of an individual on daily basis, integrated sensors are designed and developed using capacitive proximity sensing approach. The weight of a person exerts a pressure on the sensor, indicating the occupancy of the sensor spot when a threshold value set for this purpose, is exceeded. To begin with, the occupancy sensing floors are equipped with sensors and later integrated into the environment, which aims at providing assistive service for continuous diagnosis of a person's health, hence keeping track of an individual's behavioural patterns.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Research and Design of Fall Detection System for the Elderly
    Zhang Sheng-lan
    Ma Shu-wan
    Luo Xiao-min
    Zhang Yu
    Cai Xin-yuan
    ISBDAI '18: PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON BIG DATA AND ARTIFICIAL INTELLIGENCE, 2018, : 329 - 332
  • [22] A Fall Detection and Emergency Notification System for Elderly
    Kalinga, Tharushi
    Sirithunge, Chapa
    Jayasekara, A. G. Buddhika P.
    Perera, Indika
    2020 6TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2020, : 706 - 712
  • [23] SAFLOOR: Smart Fall Detection System for the Elderly
    Tangkongchitr, Pasit
    Buathang, Mingkamon
    Unsuwan, Thanavit
    Wongpatikaseree, Konlakorn
    2018 INTERNATIONAL JOINT SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING (ISAI-NLP 2018), 2018, : 81 - 86
  • [24] Multi-Functional Capacitive Proximity Sensing System for Industrial Safety Applications
    Xia, Fan
    Bahreyni, Behraad
    Campi, Fabio
    2016 IEEE SENSORS, 2016,
  • [25] Fall detection and walking estimation using floor vibration for solitary elderly people
    Okumura, Noriyuki
    Yamanoi, Yusuke
    Kato, Ryu
    Yamamura, Osamu
    2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), 2019, : 1437 - 1442
  • [26] Wearable Inertial Sensing for ICT Management of Fall Detection, Fall Prevention, and Assessment in Elderly
    Genovese, Vincenzo
    Mannini, Andrea
    Guaitolini, Michelangelo
    Sabatini, Angelo Maria
    TECHNOLOGIES, 2018, 6 (04):
  • [27] Device Free Localization with Capacitive Sensing Floor
    Faulkner, Nathaniel
    Parr, Baden
    Alam, Fakhrul
    Legg, Mathew
    Demidenko, Serge
    2020 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS 2020), 2020,
  • [28] Multimodal capacitive proximity sensing array with programmable spatial resolution and dynamic detection range
    Liu, Zhe
    Chen, Diansheng
    Ma, Junlin
    Wang, Tingyu
    Jia, Daiyu
    Liu, Yutong
    SENSORS AND ACTUATORS A-PHYSICAL, 2024, 370
  • [29] Automated Person Tracking Using Proximity Capacitive Sensors
    Arshad, Atika
    Khan, Sheroz
    Alam, A. H. M. Zahirul
    Tasnim, Rumana
    2014 IEEE INTERNATIONAL CONFERENCE ON SMART INSTRUMENTATION, MEASUREMENT AND APPLICATIONS (ICSIMA), 2014,
  • [30] Joint Transform Correlation for face tracking: elderly fall detection application
    Katz, Philippe
    Aron, Michael
    Alfalou, Ayman
    OPTICAL PATTERN RECOGNITION XXIV, 2013, 8748