Emotions control / adjustment using biofeedback

[watashiwa-toki]

Is it possible to use this software for emotions control / adjustment using EDA-biofeedback?

[lciti]

Hi!
The current algorithm works in batch mode (i.e. it requires the full data to produce results). Depending on the delay that you are willing to accept, you could use a sliding window approach. To speed up the optimization for the (k+1)-th window given the optimal solution for the k-th window, you could use this to set the initvals option of cvxopt.solvers.qp (in the python version).
Hope this helps,
Luca

[watashiwa-toki]

I.e. code must be:

res = cv.solvers.qp(H, f, cv.spmatrix(-A.V, A.I, A.J, (n,len(f))),
cv.matrix(0., (n,1)), solver=solver(initvals))

What expression must be use for "initvals" parameter for sliding window approach?