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LORENZO CHIARI, CARLO TACCONI DEIS – Università di Bologna [email_address] The SENSACTION-AAL experience (2007-2009)
[object Object],[object Object],[object Object],[object Object],SENSing & ACTion to support mobility in Ambient Assisted Living
Rationale / 1 ,[object Object],[object Object]
Rationale / II ,[object Object],[object Object],[object Object],[object Object],[object Object]
3 Application Scenarios Local (e.g. home rehabilitation and training, QoL assessment for user-awareness,   short-term ,   real-time , etc.) Remote (e.g. providing awereness of patient state after treatment to caregivers,   long term   analysis of behaviour,   off-line ) Local and Remote   (fast  reactive  detection of dangerous events, alarm dispatching to user and caregivers)
System Architecture
Major Achievements / I Remote Assistant (Scenario III) Smart Monitor (Scenario II) Virtual Trainer (Scenario I)
Major achievements / II  ,[object Object],[object Object],[object Object],[object Object],3.  that can remotely transmit  alarms  and raw data in case unrecovered falls are automatically detected.  This enhances daily home safety and security of elderly people living on their own and  increase knowledge on falls .
Users’ perspective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1-Clinical validation trials ,[object Object],[object Object]
2-Activity monitoring
3-Fall documentation 25 reported falls    19 verified falls in 6 subjects Clear differences emerge between  real  and  simulated  falls!
Management of falls SensAction-AAL Tele-Care Scenario :  Accelerometer  data are real-time processed by  PDA  application. An  alarm  is sent from PDA to the  web server  in case of fall to  advise caregiver (SMS, e-mail)  for starting  appropriate actions .
Management of falls / II ,[object Object],[object Object],[object Object]
Management of falls / III Web server-based management of data and information
Lessons learnt ,[object Object],[object Object],[object Object],[object Object]
Acknowledgements Martina Mancini, PhD Laura Rocchi, PhD Elisabetta Farella, PhD (Micrel) Angelo Cappello, PhD Luca Benini, PhD (Micrel) Clemens Becker Jeff Hausdorff Wiebren Zijlstra Carlos Cavero Barca Frantisek Hlavacka Rob van Lummel Laura Vanzago For more info:  [email_address] www.sensaction-aal.eu [email_address]
Thank you for your attention

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The SENSACTION-AAL experience (2007-2009)

  • 1. LORENZO CHIARI, CARLO TACCONI DEIS – Università di Bologna [email_address] The SENSACTION-AAL experience (2007-2009)
  • 2.
  • 3.
  • 4.
  • 5. 3 Application Scenarios Local (e.g. home rehabilitation and training, QoL assessment for user-awareness, short-term , real-time , etc.) Remote (e.g. providing awereness of patient state after treatment to caregivers, long term analysis of behaviour, off-line ) Local and Remote (fast reactive detection of dangerous events, alarm dispatching to user and caregivers)
  • 7. Major Achievements / I Remote Assistant (Scenario III) Smart Monitor (Scenario II) Virtual Trainer (Scenario I)
  • 8.
  • 9.
  • 10.
  • 12. 3-Fall documentation 25 reported falls  19 verified falls in 6 subjects Clear differences emerge between real and simulated falls!
  • 13. Management of falls SensAction-AAL Tele-Care Scenario : Accelerometer data are real-time processed by PDA application. An alarm is sent from PDA to the web server in case of fall to advise caregiver (SMS, e-mail) for starting appropriate actions .
  • 14.
  • 15. Management of falls / III Web server-based management of data and information
  • 16.
  • 17. Acknowledgements Martina Mancini, PhD Laura Rocchi, PhD Elisabetta Farella, PhD (Micrel) Angelo Cappello, PhD Luca Benini, PhD (Micrel) Clemens Becker Jeff Hausdorff Wiebren Zijlstra Carlos Cavero Barca Frantisek Hlavacka Rob van Lummel Laura Vanzago For more info: [email_address] www.sensaction-aal.eu [email_address]
  • 18. Thank you for your attention