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Human activity recognition is an essential ability for service robots and other robotic systems which are in interaction with human beings. To be proactive, the system must be able to evaluate the current state of the user it is dealing with. Also future surveillance systems will benefit from robust activity recognition if realtime constraints are met, allowing to automate tasks that have to be fulfilled...
For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual contexts, we have to extract these contextual cues and understand their relationships. However, context extraction from visual information is difficult due to uncertain information in variable environments, imperfect nature...
We describe a method for sensitivity communication robots which infer their dialogist's emotion. The method is based on the Bayesian approach: by using a Bayesian modeling for prosodic features. In this research, we focus the elements of emotion included in dialogist's voice. Thus, as training datasets for learning Bayesian networks, we extract prosodic feature quantities from emotionally expressive...
Ambient noise caused by room acoustics usually degrades quality and reliability of speech recognition for the service robot application. In this paper, we propose enhancing the robustness of speech recognition for home service robots by combining blind equalization with classification. In particular, the linear predictive code (LPC) is used for feature extraction. The constant modulus algorithm (CMA)...
We present two robust and novel algorithms to model a 3D environment using both intensity and range data provided by an off-the-shelf stereo camera. The main issue we need to address is that the output of the stereo system is both sparse and noisy. To overcome this limitation,, we detect planar patches in the environment by region segmentation in 2D and plane extraction in 3D. The extracted planar...
This paper discusses the advantage and disadvantage of evolutionary robot vision for tracking multiple humans. Evolutionary robot vision combines the technologies of the evolutionary computation and robot vision. The evolutionary computation can search for feasible solution in a dynamic environment. This paper shows its performance. The multi-scale feature extraction, working memory area and evolutionary...
Emotion interaction is an important issue in human robot interaction (HRI). In this paper, we focused on emotion recognition via voice. Generally emotional speech recognition used emotional speech features which are varied as emotion change. However, the emotional speech features changed by not only emotion information but also phoneme information. Therefore we should consider phoneme information...
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