human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Multimodal Multipart Learning for Action Recognition in Depth Videos"):
  Abstract: The articulated and complex nature of human actions makes the task of action recognition difficult. One approach to handle this complexity is dividing it to the kinetics of body parts and analyzing the actions based on these partial descriptors. We propose a joint sparse regression based learning method which utilizes the structured sparsity to model each action as a combination of multimodal features from a sparse set of body parts. To represent dynamics and appearance of parts, we employ a heterogeneous set of depth and skeleton based features. The proper structure of multimodal multipart features are formulated into the learning framework via the proposed hierarchical mixed norm, to regularize the structured features of each part and to apply sparsity between them, in favor of a group feature selection. Our experimental results expose the effectiveness of the proposed learning method in which it outperforms other methods in all three tested datasets while saturating one of them by achieving perfect accuracy.

Includes members:
  Member "Learning Invariant Color Features for Person Reidentification":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Group Re-Identification: Leveraging and Integrating Multi-Grain Information")
  Member "Real-time human pose recognition in parts from single depth images":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Histogram of 3D Facets: A characteristic descriptor for hand gesture recognition")

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science