human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "SensOrchestra: Collaborative Sensing for Symbolic Location Recognition"
  Abstract: Symbolic location of a user, like a store name in a mall, is essential for context-based mobile advertising. Existing fingerprint-based localization using only a single phone is susceptible to noise, and has a major limitation in that the phone has to be held in the hand at all times. In this paper, we present SensOrchestra, a collaborative sensing framework for symbolic location recognition that groups nearby phones to recognize ambient sounds and images of a location collaboratively. We investigated audio and image features, and designed a classifier fusion model to integrate estimates from different phones. We also evaluated the energy consumption, bandwidth, and response time of the system. Experimental results show that SensOrchestra achieved 87.7% recognition accuracy, which reduces the error rate of single-phone approach by 2X, and eliminates the limitations on how users carry their phones. We believe general location or activity recognition systems can all benefit from this collaborative framework.

Connected through hyperedge HE-1 (induced by source paper "Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application"):
  with members:
    - "BikeNet: A mobile sensing system for cyclist experience mapping"
    - "People-centric urban sensing"
    - "Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach"
    - "From taxi GPS traces to social and community dynamics: A survey"
    - "An event-driven energy efficient framework for wearable health-monitoring system"
    - "IMPROVING RESIDENTIAL ENERGY CONSUMPTION AT LARGE USING PERSUASIVE SYSTEMS"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science