We conduct dimensional affect recognition of bodily expressions.

Hybrid particle swarm optimization (PSO) is proposed for feature selection.

It mitigates premature convergence problem of conventional PSO.

Mutation mechanisms of each subswarm work cooperatively to avoid stagnation.

Our system outperforms other PSO-based and bodily expression perception research.