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: "Activity Discovery and Detection of Behavioral Deviations of an Inhabitant From Binary Sensors"
  Abstract: The aim of this paper is to improve the autonomy of medically monitored patients in a smart home instrumented only with binary sensors; overwatching the disease evolution, that can be characterized by behavior changes, is helped by detecting the activities the inhabitant performs. Two contributions are presented. On one hand, using sequence mining methods in the flow of sensor events, the most frequent patterns mirroring activities of the inhabitant are discovered; these activities are then modeled by an extended finite automaton, which can then be used for activity recognition and generate activity events. On the other hand, given the set of activities that can be recognized, another automaton is built to model requirements from the medical staff supervising the inhabitant; it accepts activity events, and residuals are defined to detect any behavior deviation. The whole method is applied to the dataset of Domus, an instrumented smart home.

Connected through hyperedge HE-1 (induced by source paper "Activity recognition with weighted frequent patterns mining in smart environments"):
  with members:
    - "Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach"

Connected through hyperedge HE-2 (induced by source paper "The human behaviour indicator: A measure of behavioural evolution"):
  with members:
    (none)

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