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.
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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",
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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

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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.