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Upper Limb Robot Mediated Stroke Therapy ? GENTLE/s Approach

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Hence, the polynomial becomes:<br />

' 1 0 p<br />

<br />

'' 1 0 p<br />

<br />

' 1 0 p<br />

<br />

'' 1 0 p<br />

We can then identify the coefficients of the polynomial as:<br />

Where:<br />

p a b<br />

<br />

a <br />

p pend pstart<br />

9)<br />

Mid velocity needs to be determined in order to minimise the integral given by<br />

equation (10) and achieve a minimum jerk movement.<br />

J <br />

Thus, to achieve maximum smoothness, mid velocity should be expressed by:<br />

If equations 8 and 11 are used, due to the minimum jerk movement the polynomial<br />

is reduced to a 5 th 15<br />

b p<br />

(11)<br />

16<br />

order polynomial. The minimum jerk model and polynomials presented<br />

in this section were used to implement the therapy modes explained in section 3.2 and to<br />

generate minimum jerk paths for the Bead-Highway explained in section 2. Polynomial<br />

coefficients are calculated between Haptic Interface end-effector's current position (P1 in<br />

Figure 3.1 ) and target‟s position (P2 in Figure 3.1 ).<br />

<br />

3 5<br />

d<br />

f<br />

h<br />

p p <br />

start<br />

p'<br />

o<br />

2<br />

b v<br />

end<br />

mid<br />

35<br />

d p 3b<br />

16<br />

21<br />

f 3 b p<br />

8<br />

15<br />

h p b<br />

16<br />

1<br />

<br />

1<br />

2<br />

p'''<br />

d<br />

7<br />

<br />

10)<br />

(<br />

3)<br />

4)<br />

5)<br />

6)<br />

7)<br />

8)<br />

(<br />

(<br />

(<br />

(<br />

(<br />

(<br />

(

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