  We propose an estimator of the Hilbert-Schmidt Independence Criterion
obtained from an appropriate modification of the usual estimator. We then get
asymptotic normality of this estimator both under independence hypothesis and
under the alternative hypothesis. A new test for independence of random
variables valued into metric spaces is then introduced, and a simulation study
that allows to compare the proposed test to an existing one is provided
