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 "Online pose classification and walking speed estimation using handheld devices"):
  Abstract: We describe and evaluate two methods for device pose classification and walking speed estimation that generalize well to new users, compared to previous work. These machine learning based methods are designed for the general case of a person holding a mobile device in an unknown location and require only a single low-cost, low-power sensor: a triaxial accelerometer. We evaluate our methods in straight-path indoor walking experiments as well as in natural indoor walking settings. Experiments with 14 human participants to test user generalization show that our pose classifier correctly selects among four device poses with 94% accuracy compared to 82% for previous work, and our walking speed estimates are within 12-15% (straight/indoor walk) of ground truth compared to 17-22% for previous work. Implementation on a mobile phone demonstrates that both methods can run efficiently online.

Includes members:
  Member "Regularization Networks and Support Vector Machines":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "On the Noise Model of Support Vector Machines Regression")
  Member "User, device and orientation independent human activity recognition on mobile phones: challenges and a proposal":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "Similar gait action recognition using an inertial sensor")

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