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Affective State Estimation for Human–Robot Interaction
2007
IEEE Transactions on robotics
In order for humans and robots to interact in an effective and intuitive manner, robots must obtain information about the human affective state in response to the robot's actions. This secondary mode of interactive communication is hypothesized to permit a more natural collaboration, similar to the "body language" interaction between two cooperating humans. This paper describes the implementation and validation of a hidden Markov model (HMM) for estimating human affective state in real time,
doi:10.1109/tro.2007.904899
fatcat:mu4bnybwuver5aqgoo3g3j735a