Upper Limb Robot Mediated Stroke Therapy ? GENTLE/s Approach
Upper Limb Robot Mediated Stroke Therapy ? GENTLE/s Approach
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 />
(