human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "kid on the phone toward automatic detection of children on mobile devices"):
  Abstract: Studies have shown that children can be exposed to smart devices at a very early age. This has important implications on research in children-computer interaction, children online safety and early education. Many systems have been built based on such research. In this work, we present multiple techniques to automatically detect the presence of a child on a smart device, which could be used as the first step on such systems. Our methods distinguish children from adults based on behavioral differences while operating a touch-enabled modern computing device. Behavioral differences are extracted from data recorded by the touchscreen and built-in sensors. To evaluate the effectiveness of the proposed methods, a new data set has been created from 50 children and adults who interacted with off-the-shelf applications on smart phones. Results show that it is possible to achieve 99% accuracy and less than 0.5% error rate after 8 consecutive touch gestures using only touch information or 5 seconds of sensor reading. If information is used from multiple sensors, then only after 3 gestures, similar performance could be achieved.

Includes members:
  Member "tap based user authentication for smartwatches":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "distinctiveness complexity and repeatability of online signature templates")
  Member "implicit smartphone user authentication with sensors and contextual machine learning":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "sensor based continuous authentication of smartphones users using behavioral biometrics a survey")
  Member "illusionpin shoulder surfing resistant authentication using hybrid images":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "shoulder surfing from an experimental study to a comparative framework")
  Member "an hmm based multi sensor approach for continuous mobile authentication":
    also connected through other hyperedges:
      (none)
  Member "an hmm based behavior modeling approach for continuous mobile authentication":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "actions speak louder than pass words passive authentication of smartphone users via deep temporal features")
  Member "user generated free form gestures for authentication security and memorability":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "quantifying the security of recognition passwords gestures and signatures")
  Member "touchalytics on the applicability of touchscreen input as a behavioral biometric for continuous authentication":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the resilience of biometric authentication systems against random inputs")
  Member "silentsense silent user identification via dynamics of touch and movement behavioral biometrics":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an hmm based multi sensor approach for continuous mobile authentication")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.HC(Human-Computer Interaction)