Mun-Ho Jeong

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The paper proposes ‘Network-based Humanoid’, that is, a humanoid endowed with its perception capability and intelligence by an external computer system connected with wireless network. The network-based humanoid is composed of a humanoid test-bed, an internal control system and an external computer system. The internal distributed control system is composed(More)
Visual voice activity detection (V-VAD) plays an important role in both HCI and HRI, affecting both the conversation strategy and sync between humans and robots/computers. The typical speakingness decision of V-VAD consists of post-processing for signal smoothing and classification using thresholding. Several parameters, ensuring a good trade-off between(More)
This paper presents a calibration method for a robot Head-Eye system which can be used in a humanoid robot vision system. This method estimates the transformation between the robot coordinate and the camera coordinate. The calibration procedure uses visual measurements and kinematic information as the inputs of nonlinear optimization. For this calibration(More)
We present a method for recognition of twohand gestures. Two-hand gestures include fine-grain descriptions of hands under a complicated background, and have complex dynamic behaviors. Hence, assuming that two-hand gestures are an interacting process of two hands whose shapes and motions are described by switching linear dynamics, we propose a coupled(More)
In this paper propose a GPU-based parallel processing method for real-time image segmentation with neural oscillator network. Range image segmentation methods can be divided into two categories: edge-based and region-based. Edge-base method is sensitive to noise and region-based method is hard to extracting the boundary detail between the object. However,(More)