Towards intelligent environments: Human posture and activity monitoring in furniture with wireless low cost sensors

    Research output: Contribution to conferenceConference articleScientific

    32 Citations (Scopus)

    Abstract

    We take an approach for human posture and activity monitoring with very low cost low-intrusive capacitive proximity sensors. The sensor system relies on wireless sensor network technologies and is integrated to the monitoring software and end users via the internet. The motivation is in tracking the behavior and detecting abnormal living patterns of elderly people living at home.
    Original languageEnglish
    Pages31-36
    Publication statusPublished - 2011
    MoE publication typeNot Eligible
    EventAdvances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011 - , Singapore
    Duration: 12 Sep 2011 → …

    Conference

    ConferenceAdvances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011
    Abbreviated titleRTES 2011
    CountrySingapore
    Period12/09/11 → …

    Fingerprint

    Proximity sensors
    Capacitive sensors
    Monitoring
    Sensors
    Costs
    Wireless sensor networks
    Internet

    Keywords

    • human monitoring
    • wireless sensor network
    • intelligent environment

    Cite this

    Heikkilä, T., Järviluoma, M., Strömmer, E., Kivikunnas, S., Korkalainen, M., & Kyllönen, V. (2011). Towards intelligent environments: Human posture and activity monitoring in furniture with wireless low cost sensors. 31-36. Paper presented at Advances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011, Singapore.
    Heikkilä, Tapio ; Järviluoma, Markku ; Strömmer, Esko ; Kivikunnas, Sauli ; Korkalainen, Marko ; Kyllönen, Vesa. / Towards intelligent environments : Human posture and activity monitoring in furniture with wireless low cost sensors. Paper presented at Advances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011, Singapore.
    @conference{be035ac5f9214a04be962dddd030e64a,
    title = "Towards intelligent environments: Human posture and activity monitoring in furniture with wireless low cost sensors",
    abstract = "We take an approach for human posture and activity monitoring with very low cost low-intrusive capacitive proximity sensors. The sensor system relies on wireless sensor network technologies and is integrated to the monitoring software and end users via the internet. The motivation is in tracking the behavior and detecting abnormal living patterns of elderly people living at home.",
    keywords = "human monitoring, wireless sensor network, intelligent environment",
    author = "Tapio Heikkil{\"a} and Markku J{\"a}rviluoma and Esko Str{\"o}mmer and Sauli Kivikunnas and Marko Korkalainen and Vesa Kyll{\"o}nen",
    note = "Project code: 35818; Advances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011, RTES 2011 ; Conference date: 12-09-2011",
    year = "2011",
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    Heikkilä, T, Järviluoma, M, Strömmer, E, Kivikunnas, S, Korkalainen, M & Kyllönen, V 2011, 'Towards intelligent environments: Human posture and activity monitoring in furniture with wireless low cost sensors', Paper presented at Advances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011, Singapore, 12/09/11 pp. 31-36.

    Towards intelligent environments : Human posture and activity monitoring in furniture with wireless low cost sensors. / Heikkilä, Tapio; Järviluoma, Markku; Strömmer, Esko; Kivikunnas, Sauli; Korkalainen, Marko; Kyllönen, Vesa.

    2011. 31-36 Paper presented at Advances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011, Singapore.

    Research output: Contribution to conferenceConference articleScientific

    TY - CONF

    T1 - Towards intelligent environments

    T2 - Human posture and activity monitoring in furniture with wireless low cost sensors

    AU - Heikkilä, Tapio

    AU - Järviluoma, Markku

    AU - Strömmer, Esko

    AU - Kivikunnas, Sauli

    AU - Korkalainen, Marko

    AU - Kyllönen, Vesa

    N1 - Project code: 35818

    PY - 2011

    Y1 - 2011

    N2 - We take an approach for human posture and activity monitoring with very low cost low-intrusive capacitive proximity sensors. The sensor system relies on wireless sensor network technologies and is integrated to the monitoring software and end users via the internet. The motivation is in tracking the behavior and detecting abnormal living patterns of elderly people living at home.

    AB - We take an approach for human posture and activity monitoring with very low cost low-intrusive capacitive proximity sensors. The sensor system relies on wireless sensor network technologies and is integrated to the monitoring software and end users via the internet. The motivation is in tracking the behavior and detecting abnormal living patterns of elderly people living at home.

    KW - human monitoring

    KW - wireless sensor network

    KW - intelligent environment

    M3 - Conference article

    SP - 31

    EP - 36

    ER -

    Heikkilä T, Järviluoma M, Strömmer E, Kivikunnas S, Korkalainen M, Kyllönen V. Towards intelligent environments: Human posture and activity monitoring in furniture with wireless low cost sensors. 2011. Paper presented at Advances in distributed and Parallel Computing: Special Track on Real Time & Embedded Systems, RTES 2011, Singapore.