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This paper presents the possibility of using pattern recognition algorithms of infant gaze patterns at six months of age among children at high risk for an autism spectrum disorder (ASD). ASDs, which must be diagnosed by 3 years of age, are characterized by communication and interaction impairments which frequently involve disturbances of visual attention and gaze patterning. We used video cameras...
A generalised fuzzy approach to statistical modelling techniques for pattern recognition is proposed in this paper. Fuzzy C-means (FCM) and fuzzy entropy (FE) techniques are combined into a generalised fuzzy technique and applied to third-order two-dimensional hidden Markov mode(2-D HMM). 2-D HMM is an extension of 1-D HMM to 2-D, it provides a reasonable statistical method to model matrix data. By...
This paper describes a system that is being developed for providing services to support elderly residents in assisted living facilities. Passive RFID tags and readers are used as the basic sensor modality to distinguish people and objects. An intelligent multiagent system with a distributed topology enables local decision making without the need for a centralized server or database. Rather than use...
In recent years, the demand for efficient systems which can capture and learn human skills has become increasingly important. In this paper an approach for acquiring and recognizing human assembly skills is presented. The underlying workflows of assembly skills are captured by using a simple multi-sensor data glove and camera tracking. To avoid the processing of redundant information, at first the...
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent variable model and embedded with Markov-switching approach. Training trajectory data is projected from the observation space to the latent space of lower dimensionality in a nonlinear probabilistic manner. In the latent space,...
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