Activities of Daily Living Classification Using Depth Features

被引：0
|
作者：
Da Luz, Laurence [1 ]
Masek, Martin [1 ]
Lam, Chiou Peng [1 ]
机构：
[1] Edith Cowan Univ, Sch Comp & Secur Sci, Perth, WA, Australia
来源：
2013 IEEE INTERNATIONAL CONFERENCE OF IEEE REGION 10 (TENCON) | 2013年
关键词：
smart homes; patient monitoring; assisted living;
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：
The increasing elderly population presents a challenge on the resources of carers and assisted living communities. In this paper, we present an algorithm based around the Microsoft Kinect for monitoring activities of daily living. The system analyses the behaviour of occupants to provide carers with valuable observational data, and has the capacity to detect abnormal events in the home.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] Activities of Daily Living Classification using Recurrent Neural Networks
    Jurca, Roxana
    Cioara, Tudor
    Anghel, Ionut
    Antal, Marcel
    Pop, Claudia
    Moldovan, Dorin
    2018 17TH ROEDUNET IEEE INTERNATIONAL CONFERENCE: NETWORKING IN EDUCATION AND RESEARCH (ROEDUNET), 2018,
  • [2] Evaluating activities of daily living using an infrared depth sensor: KINECT™
    Kusunoki, Masanobu
    Kohama, Takeshi
    Yamada, Yoshifumi
    Fujita, Eiji
    Okada, Soichi
    Maeda, Akira
    Takeshima, Nobuo
    DISABILITY AND REHABILITATION-ASSISTIVE TECHNOLOGY, 2019, 14 (04) : 368 - 378
  • [3] Improving Supervised Classification of Activities of Daily Living Using Prior Knowledge
    Fleury, Anthony
    Noury, Norbert
    Vacher, Michel
    INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS, 2011, 2 (01) : 17 - 34
  • [4] Supervised Classification of Activities of Daily Living in Health Smart Homes using SVM
    Fleury, Anthony
    Noury, Norbert
    Vacher, Michel
    2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 6099 - +
  • [5] Building a Framework For Recognition of Activities of Daily Living from Depth Images Using Fuzzy Logic
    Banerjee, Tanvi
    Keller, James M.
    Skubic, Marjorie
    2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2014, : 540 - 547
  • [6] Methodology for improving classification accuracy using ontologies: application in the recognition of activities of daily living
    Salguero, A. G.
    Medina, J.
    Delatorre, P.
    Espinilla, M.
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2019, 10 (06) : 2125 - 2142
  • [7] Load Identification and Classification of Activities of Daily Living using Residential Smart Meter Data
    Devlin, Michael A.
    Hayes, Barry P.
    2019 IEEE MILAN POWERTECH, 2019,
  • [8] Methodology for improving classification accuracy using ontologies: application in the recognition of activities of daily living
    A. G. Salguero
    J. Medina
    P. Delatorre
    M. Espinilla
    Journal of Ambient Intelligence and Humanized Computing, 2019, 10 : 2125 - 2142
  • [9] Spark-Based Classification Algorithms for Daily Living Activities
    Moldovan, Dorin
    Antal, Marcel
    Pop, Claudia
    Olosutean, Adrian
    Cioara, Tudor
    Anghel, Ionut
    Salomie, Ioan
    ARTIFICIAL INTELLIGENCE AND ALGORITHMS IN INTELLIGENT SYSTEMS, 2019, 764 : 69 - 78
  • [10] Multimodal Classification of Activities of Daily Living Inside Smart Homes
    Libal, Vit
    Ramabhadran, Bhuvana
    Mana, Nadia
    Pianesi, Fabio
    Chippendale, Paul
    Lanz, Oswald
    Potamianos, Gerasimos
    DISTRIBUTED COMPUTING, ARTIFICIAL INTELLIGENCE, BIOINFORMATICS, SOFT COMPUTING, AND AMBIENT ASSISTED LIVING, PT II, PROCEEDINGS, 2009, 5518 : 687 - +
12345