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J-P . Merlet HEPHAISTOS project INRIA 1 Assistance Robotics 2 - PowerPoint PPT Presentation

Using robotics methods for mobility and medical monitoring of frail people J-P . Merlet HEPHAISTOS project INRIA 1 Assistance Robotics 2 Assistance Robotics is an INRIA team devoted to the assistance to HEPHAISTOS frail people (elderly,


  1. Using robotics methods for mobility and medical monitoring of frail people J-P . Merlet HEPHAISTOS project INRIA 1

  2. Assistance Robotics 2

  3. Assistance Robotics is an INRIA team devoted to the assistance to HEPHAISTOS frail people (elderly, handicapped, . . . ) 3

  4. Assistance Robotics is an INRIA team devoted to the assistance to HEPHAISTOS frail people (elderly, handicapped, . . . ) When starting to investigate this subject in 2006 we have almost no knowledge about these issues 4

  5. Assistance Robotics end-users associations local authorities 3 years interview period retirement (2008-2011) house medical community caregivers nurses doctors nurses family ≈ 200 interviews 5

  6. Assistance Robotics Players Tasks Time end-user helpers medical community when ? what ? for who ? for what? how? society environment Context rules assistance systems 6

  7. Assistance Robotics These interviews has allowed us to determine: • priorities → what, for who, when, what for - mobility assistance (for elderly, caregivers, family) - medical monitoring (especially at home) • guidelines → how, ethical rules for example - low intrusivity - low cost - low energy consumption , smart objects Interviews: a real change in my life will be to be able to go alone to the toilets 7

  8. Mobility • mobility is essential for a minimal autonomy → self-esteem • first phase of autonomy loss: mobility problem 8

  9. Mobility Mobility operations: • transfer operations: mechanically demanding task • walking assistance 9

  10. Mobility Mobility monitoring is an essential tool for the medical community used for functional and cognitive assessment • clinical tests: 10m walk, TUG, Tinetti, . . . • suffer from: robustness, inaccurate or partial measurements, lack of objectivity, . . . 10

  11. Mobility and fall The fall problem • in France 10 000 elderly deaths per year are a direct consequence of a fall • car accidents: 3000 deaths/year 11

  12. Objectives of mobility assistance devices • provide the right level of assistance for the end-users and helpers • manage the fall problem (detection/prevention) • medical monitoring (provide synthetic assessment indicators that may be used by doctors, detect rare events that are warnings for emerging pathologies) 12

  13. Objectives of mobility assistance devices • low cost and intrusivity • user-friendly: manageable by the subject alone → self-esteem • flexible and adaptable • connected • to the external world ? yes . . . sometime • to other devices ? yes, as much as possible 13

  14. Transfer Available solutions : patient lifts • require an helper, difficult to use by them 14

  15. Transfer Available solutions • intrusive and expensive • only 1 or 2 action directions 15

  16. Transfer Robotic solutions : RIBA robot • really intrusive • cost, energy autonomy, helper required 16

  17. Transfer Robotic solutions : MONIMAD walker • quite cumbersome and heavy • limited transfer ability (sit-to-stand) 17

  18. Transfer Purposes of a robotized solution: • preserving autonomy by allowing an elderly to remain mobile • decrease the burden of the caregiver • allow object manipulation • avoid fall Constraints • should be able to fully lift an elderly: load • allow access to any part of a room: workspace • acceptance, cost 18

  19. Transfer: another robotized solution main constraints: load and workspace • several links connecting the spine and the torso • links are in parallel 19

  20. Transfer: another robotized solution How do we implement that for robots ? Objectives • divide the load among several links • only traction/compression in the links 20

  21. Transfer: another robotized solution Practical implementation: 6 independent extensible legs whose extremities are connected to the base and to the platform Gough platform 1956 Stewart platform 1965 21

  22. Transfer: another robotized solution Linear actuators have limited stroke ⇒ parallel robots have a limited workspace How can we increase this workspace ? 22

  23. Transfer: another robotized solution Linear actuators have limited stroke ⇒ parallel robots have a limited workspace How can we increase this workspace ? Replace the rigid actuators by cables that can be coiled and un- coiled at will • low cost, low intrusivity • high lifting capacity, allow for walk monitoring VIDEO1 VIDEO2 23

  24. Transfer: another robotized solution Still many theoretical/practical issues to be solved: • kinematics • cable tension control • standards, norms ? 24

  25. Walking assistance Tools used when the first mobility problems appear 25

  26. Walking assistance How can we transform these objects for: • medical monitoring • managing fall • assistance 26

  27. Walking monitoring ANG-light walker • incremental encoders in the rear wheels • accelerometer/gyrometer • GPS,GSM • wifi, infra-red position accuracy: ≈ 1cm over 10m rectilinear trajectory 27

  28. Walking monitoring Initial assumptions: measuring the trajectory of the walker will provide information on the walking pattern example : angular speed around the z axis will allows step number measurements yz 10 5 0 2 4 6 8 –5 –10 x 28

  29. Walking monitoring: experiments • 24 "young" subjects at INRIA • mean age: 32 years, min 28, max 65 • 30 elderly people at Nice hospital • age ≥ 65, no severe mobility problem 29

  30. Walking monitoring: experiments Trajectory directives 1 10m 5m 5m 2 VIDEO1 30

  31. Walking monitoring: experiments 10m walking test elderly people are faster than young people! 31

  32. Walking monitoring: experiments 10m walking trajectory elderly people exhibit larger trajectory deviation 32

  33. Walking monitoring: experiments maximal lateral deviation yz 25 20 15 10 5 x 5 10 15 20 25 new walking indicator 33

  34. Walking monitoring: experiments Maximal instantaneous velocity yz maximum instantanous speed 220 200 180 160 140 120 100 5 10 15 20 25 x no significant difference young/elderly 34

  35. Walking monitoring: experiments trajectory for the L-shaped directive 35

  36. Walking monitoring: experiments Area for performing the maneuvers old yz young 7000 6000 5000 4000 3000 2000 1000 0 x 1 2 3 new walking indicator 36

  37. Other rollators ANG-med ANG-II brake control fully motorized 37

  38. Other mobility application Navigation in a city requires the knowledge of lowered kerbs location, sideways slope, . . . On board instrumentation of the ANG walkers allows for • automatic detection of the location of the lowered kerbs • sideways slope measurement → collaborative map • a given rollator may provide this information for a few streets • a fleet of rollators may provide this information for a city 38

  39. Other mobility application �������� �������� ���� ���� ������� ������� �������� ����� �������� ��������� �������� ���� ��������� ������� ������� �������� ������ ������ ������� ������� �������� ����� �������� ����� ������ 39

  40. Cane An alternate to the walker • monitor walking pattern • possibly navigation help • self-raising • detect fall • lightning at night • but don’t modify the look of the cane! 40

  41. Conclusion Mobility • is a major issue for autonomy and self-esteem • may provide functional and cognitive assessment of the subject Mobility assistance and monitoring should respect some rules • multi-functional and low cost • minimal intrusivity • collaborative and redundant 41

  42. Conclusion Issues • our robots are NOT "intelligent" so that social robots is a dream that may occur when we will all be very, very old (unless a drastic change in computing technology occurs) • ethics and privacy respect of medical monitoring • who should have access to the data ? • responsibility in case of failure. . . that will definitely occur! • families and subject should be aware that robots will never be 100% bugproof 42

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