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Sweet Home Meeting Nice - November 9 – 2010 CHU de Nice
Sweet Home Meeting Nice - November 9 – 2010 CHU de Nice Participants: Pau-Choo  Chung:  [email_address] Francois Bremond : [email_address] Rim Romdhane:  [email_address] Juliette Mallez: [email_address] Emmanuel Mulin: [email_address] Alexandre Derreumaux: [email_address] Julie Piano: [email_address]   Jihyun Lee: [email_address] Robert Philippe: [email_address]
SWEET-Home project  ,[object Object],[object Object]
A place for Behavioral assessment ,[object Object],[object Object],[object Object],[object Object]
Scenario 1 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Step A: directed activities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Step A: directed activities
[object Object],[object Object],[object Object],[object Object],Step B: semi directed activities
Step B: semi directed activities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step C: Free activities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Step A: directed activities ,[object Object],[object Object],Indicators: Speed of execution (m/s), number of error (standard unity) and omission (standard unity). Step B: semi directed activities Step C: Free activities Indicators:  Speed of execution (m/s), number of activities (standard unity), percentage of working time (%), number of transfer (standard unity),
Video captors recognition methods Overview Automatic process
Event recognition Component A priori knowledge ,[object Object],[object Object],[object Object],[object Object],[object Object]
Vision component Vision component  (detection, classification, tracking): detect the person in the scene and to track his different movements over time.
R David E Mulin J Piano J Lee A Derreumeaux P Mallea F Bremont R Romdhane N Zouba V Joumier M Thonnat
11/09/2010 Reporter: Pau-Choo Chung IEEE Fellow
[object Object],[object Object],[object Object],[object Object],[object Object],Outline
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Experiment Process
[object Object],[object Object],[object Object],Indoor Experiment Setting Step A: Completely Supervised Activities
Indoor Experiment Setting Step B: Half supervised activities
Indoor Experiment Setting Step B: Half supervised activities (Prospective memory )
Indoor Experiment Setting Step C: Free activities Entrance   1 Restaurant 2 Kitchen   3 Bedroom   4 Study   6 Parlor   7 Mirror   5
Outdoor Experiment Setting Participants are asked to walk around the ring region in the NCKU campus. Examiner will walk with them and ask them the direction of the starting point in five fixed point on the way. During a straight path of forty meters,  participants will wear non-invasive sensors to measure the gait information.
Outdoor Experiment Setting ,[object Object],[object Object],[object Object],[object Object],X-axis Y-axis Z-axis
Outdoor Experiment Results ,[object Object],[object Object],[object Object]
Outdoor Experiment Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outdoor Experiment Results Stride Detection
Outdoor Experiment Results Stride Detection Distance (m) Time (s) Number of Stride Mild AD (1) 40 42.53 34 Mild AD (2) 40 32.89 28 Mild AD (3) 40 43.26 34 Health Control (1) 40 36.47 32 Health Control (2) 40 36.25 31
Outdoor Experiment Results Gait Cycle ,[object Object],[object Object],[object Object],Push-Off Swing Phase Heel Strike 18.5% 32.6% 19.3% Swing Phase Stance Phase 71.4% 29.6%
Outdoor Experiment Results Gait Cycle ,[object Object],[object Object],[object Object],Push-Off Swing Phase Heel Strike 18.5% 32.6% 19.3% Swing Phase Stance Phase 71.4% 29.6%
Outdoor Experiment Results Gait Cycle ,[object Object],Stance Phase (%) Swing Phase (%) SW/ST Mild AD (1) 35 65 1.88 (0.18) Mild AD (2) 30 70 2.35(0.23) Mild AD (3) 43 57 1.31(0.11) Health Control (1) 36 64 1.79 (0.21) Health Control (2) 37 63 1.70 (0.11)
Outdoor Experiment Results Stride Length ,[object Object],Distance (m) No. of Stride Stride Length (m) Mild AD (1) 40 34 1.176 Mild AD (2) 40 28 1.428 Mild AD (3) 40 34 1.176 Health Control (1) 40 32 1.25 Health Control (2) 40 31 1.29
Outdoor Experiment Results Stride Frequency ,[object Object],[object Object],[object Object],X : 0.7904
Outdoor Experiment Results Stride Frequency Single Stride Frequency (Hz) Walking Stride Frequency (Hz) Mild AD (1) 0.79 1.58 Mild AD (2) 0.84 1.68 Mild AD (3) 0.78 1.56 Health Control (1) 0.88 1.76 Health Control (2) 0.84 1.68
Outdoor Experiment Results Stride Speed ,[object Object],Stride Length (m) Stride Frequency (Hz) Stride Speed (m/s) Mild AD (1) 1.176 0.79 0.929 Mild AD (2) 142.8 0.84 1.20 Mild AD (3) 117.6 0.78 0.917 Health Control (1) 1.25 0.88 1.10 Health Control (2) 1.29 0.84 1.075
Outdoor Experiment Results Stride Regularity ,[object Object],Entropy Mild AD (1) 3.24 Mild AD (2) 0.28 Mild AD (3) 1.04 Health Control (1) 0.83 Health Control (2) 0.56
 
Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Sweet Home Project

  • 1.  
  • 2.  
  • 3. Sweet Home Meeting Nice - November 9 – 2010 CHU de Nice
  • 4. Sweet Home Meeting Nice - November 9 – 2010 CHU de Nice Participants: Pau-Choo Chung: [email_address] Francois Bremond : [email_address] Rim Romdhane: [email_address] Juliette Mallez: [email_address] Emmanuel Mulin: [email_address] Alexandre Derreumaux: [email_address] Julie Piano: [email_address]   Jihyun Lee: [email_address] Robert Philippe: [email_address]
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Video captors recognition methods Overview Automatic process
  • 15.
  • 16. Vision component Vision component (detection, classification, tracking): detect the person in the scene and to track his different movements over time.
  • 17. R David E Mulin J Piano J Lee A Derreumeaux P Mallea F Bremont R Romdhane N Zouba V Joumier M Thonnat
  • 18. 11/09/2010 Reporter: Pau-Choo Chung IEEE Fellow
  • 19.
  • 20.
  • 21.
  • 22. Indoor Experiment Setting Step B: Half supervised activities
  • 23. Indoor Experiment Setting Step B: Half supervised activities (Prospective memory )
  • 24. Indoor Experiment Setting Step C: Free activities Entrance 1 Restaurant 2 Kitchen 3 Bedroom 4 Study 6 Parlor 7 Mirror 5
  • 25. Outdoor Experiment Setting Participants are asked to walk around the ring region in the NCKU campus. Examiner will walk with them and ask them the direction of the starting point in five fixed point on the way. During a straight path of forty meters, participants will wear non-invasive sensors to measure the gait information.
  • 26.
  • 27.
  • 28.
  • 29. Outdoor Experiment Results Stride Detection
  • 30. Outdoor Experiment Results Stride Detection Distance (m) Time (s) Number of Stride Mild AD (1) 40 42.53 34 Mild AD (2) 40 32.89 28 Mild AD (3) 40 43.26 34 Health Control (1) 40 36.47 32 Health Control (2) 40 36.25 31
  • 31.
  • 32.
  • 33.
  • 34.
  • 35.
  • 36. Outdoor Experiment Results Stride Frequency Single Stride Frequency (Hz) Walking Stride Frequency (Hz) Mild AD (1) 0.79 1.58 Mild AD (2) 0.84 1.68 Mild AD (3) 0.78 1.56 Health Control (1) 0.88 1.76 Health Control (2) 0.84 1.68
  • 37.
  • 38.
  • 39.  
  • 40.

Editor's Notes

  1. A physician or an examiner successively asks the participant to: Balance testing total score : /4
  2. More than 8.7 seconds: 1 pt From 6.21 to 8.7 seconds: 2 pt From 4.82 to 6.2 seconds: 3 pt Less than 4.82 seconds: 4 pt   Speed of walk total score : /4 First chair stand: The participant stands up without help: Y/N   5 times chair stands: The participant stands up 5 times in a row without help: Y/N If the participant completed rises, time: sec   The participant hasn ’ t completed rises in less than 60 seconds: 0 pt 16.70 seconds or more: 1 pt From 13.70 to 16.69 seconds: 2 pt From 11.20 to 13.69 seconds: 3 pt 11.19 seconds or less: 4 pt   Transfer total score : /4   Short physical performance battery SUMMARY ORDINAL SCORE: /12
  3. A physician or an examiner successively asks the participant to: Balance testing total score : /4
  4. A physician or an examiner successively asks the participant to: Balance testing total score : /4
  5. A physician or an examiner successively asks the participant to: Balance testing total score : /4
  6. 02/11/10 The proposed event recognition framework (the activity described on the previous paragraph) takes as input Video streams, A priori knowledge: This knowledge is composed of 3D geometric information (i.e. empty scene model, camera calibration) and pre-defined event - behavior models.
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  8. 02/11/10
  9. 02/11/10