human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "wigest a ubiquitous wifi based gesture recognition system"
  Abstract: We present WiGest: a system that leverages changes in WiFi signal strength to sense in-air hand gestures around the user's mobile device. Compared to related work, WiGest is unique in using standard WiFi equipment, with no modi-fications, and no training for gesture recognition. The system identifies different signal change primitives, from which we construct mutually independent gesture families. These families can be mapped to distinguishable application actions. We address various challenges including cleaning the noisy signals, gesture type and attributes detection, reducing false positives due to interfering humans, and adapting to changing signal polarity. We implement a proof-of-concept prototype using off-the-shelf laptops and extensively evaluate the system in both an office environment and a typical apartment with standard WiFi access points. Our results show that WiGest detects the basic primitives with an accuracy of 87.5% using a single AP only, including through-the-wall non-line-of-sight scenarios. This accuracy in-creases to 96% using three overheard APs. In addition, when evaluating the system using a multi-media player application, we achieve a classification accuracy of 96%. This accuracy is robust to the presence of other interfering humans, highlighting WiGest's ability to enable future ubiquitous hands-free gesture-based interaction with mobile devices.

Connected through hyperedge HE-1 (induced by source paper "a survey on acoustic sensing"):
  with members:
    - "dolphinattack inaudible voice commands"
    - "going deeper into first person activity recognition"
    - "p cnn pose based cnn features for action recognition"
    - "very deep convolutional networks for large scale image recognition"

Connected through hyperedge HE-2 (induced by source paper "solargest ubiquitous and battery free gesture recognition using solar cells"):
  with members:
    - "intelligent approaches to interact with machines using hand gesture recognition in natural way a survey"

Connected through hyperedge HE-3 (induced by source paper "on realistic target coverage by autonomous drones"):
  with members:
    - "design challenges of multi uav systems in cyber physical applications a comprehensive survey and future directions"
    - "the art gallery problem is exists mathbb r complete"
    - "obstacle avoidance strategy using onboard stereo vision on a flapping wing mav"
    - "directing cinematographic drones"
    - "towards a drone cinematographer guiding quadrotor cameras using visual composition principles"
    - "ubibreathe a ubiquitous non invasive wifi based breathing estimator"
    - "context aware computing for the internet of things a survey"

Connected through hyperedge HE-4 (induced by source paper "qualitative action recognition by wireless radio signals in human machine systems"):
  with members:
    - "action recognition with trajectory pooled deep convolutional descriptors"

Connected through hyperedge HE-5 (induced by source paper "ubibreathe a ubiquitous non invasive wifi based breathing estimator"):
  with members:
    - "breathfinding a wireless network that monitors and locates breathing in a home"
    - "spot an accurate and efficient multi entity device free wlan localization system"
    - "rasid a robust wlan device free passive motion detection system"

Question: Please tell me which class the center node 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)