Personalized feedback based on automatic activity recognition from mixed-source raw sensor data

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    26 Downloads (Pure)

    Abstract

    We present a data set consisting of multiple wireless sensors that monitor movement and various types of bio signals, recorded from patients that suffer from Chronic Obstructive Pulmonary Disease (COPD). From this data, the goal is to derive appropriate feedback to the patient that will motivate them to achieve a healthy lifestyle and a good phyisical condition.
    Original languageUndefined
    Title of host publicationAIME (Artificial Intelligence In Medicine) 2009 International Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology
    Place of PublicationVerona, Italy
    PublisherUniversita degli Studi di Verona
    Pages65-66
    Number of pages2
    ISBN (Print)not assigned
    Publication statusPublished - 19 Jul 2009
    EventInternational Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology, IDAMAP 2009 - Verona, Italy
    Duration: 19 Jul 200919 Jul 2009

    Publication series

    Name
    PublisherUniversita degli Studi di Verona

    Workshop

    WorkshopInternational Workshop on Intelligent Data Analysis in Biomedicine and Pharmacology, IDAMAP 2009
    Abbreviated titleIDAMAP
    CountryItaly
    CityVerona
    Period19/07/0919/07/09

    Keywords

    • METIS-265763
    • EWI-16558
    • IR-68618

    Cite this