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    Tracking objects robot for healthcare environments

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    Authors
    Kanjaruek, Saranya
    Li, Dayou
    Affiliation
    Khon Kaen University, Thailand
    University of Bedfordshire
    Issue Date
    2018-02-01
    Subjects
    semantic knowledge
    robotics
    tracking
    H671 Robotics
    
    Metadata
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    Abstract
    There are many elder who are affected from Alzheimer's disease. Memory problems, confusion and forgetting objects, recent conversations or places are example of Alzheimer symptoms. Nursing home needs medical devices or robot to provide service for patients. Tracking Objects Robot traces and locates objects for the Alzheimer's patients to find objects in environment. This paper uses frequency and recency technique in order to locate the location of objects in dynamic environment by associating semantic knowledge of object with instance in ontology.
    Citation
    Kanjaruek S, Li D (2018) 'Tracking objects robot for healthcare environments', 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) - Exeter, Institute of Electrical and Electronics Engineers Inc..
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    URI
    http://hdl.handle.net/10547/623862
    DOI
    10.1109/iThings-GreenCom-CPSCom-SmartData.2017.95
    Additional Links
    https://ieeexplore.ieee.org/document/8276857
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781538630655
    ae974a485f413a2113503eed53cd6c53
    10.1109/iThings-GreenCom-CPSCom-SmartData.2017.95
    Scopus Count
    Collections
    Computing

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