We propose a person verification method using behavioral patterns of human upper body motion. Behavioral patterns are represented by three-dimensional features obtained from a time-of-flight camera. We take a statistical approach to model the behavioral patterns using Gaussian mixture models (GMM) and support vector machines. We employ the maximum likelihood linear regression adaptation method ...

Customer segmentation is the process of dividing customers into distinct subsets (segments or clusters) that behave in the same way or have similar needs. Because each segment is fairly homogeneous in their behavior and needs, they are likely to respond similarly to a given marketing strategy. In the marketing literature, market segmentation approaches have often been used to divide customers i...

Many researchers have studied the population of individuals with mild mental retardation (MIMR) as if it is a clear entity. Few researchers have investigated potential subtypes within the MIMR population. The purpose of the present study was to investigate which subtypes can be identified on the basis of intellectual, adaptive and behavioral functioning. Seventy-three individuals with MIMR were...

This article presents a top-down approach for analyzing sequential events in behavioral data. Analysis of behavioral sequential data often entails identifying patterns specified by the researchers. Algorithms were developed and applied to analyze a kind of behavioral data, called discrete action protocol data. Discrete action protocols consist of discrete user actions, such as mouse clicks and ...

We used multidimensional scaling to model the semantic network of alcohol and marijuana expectancies (N=897). Preference mapping was used to estimate vectors representing patterns of activation through the network as a function of levels of behavioral inhibition (BIS) and behavioral activation (BAS). Individuals with low BIS combined with high BAS levels exhibited patterns of activation emphasi...

Landscape and population level patterns form through the aggregation of responses of individual organisms to heterogeneity. Spatial organization within a population can range from random overlap of individual home ranges, to completely exclusive territories, with most populations falling somewhere between these two extremes. A fundamental question in behavioral ecology concerns the factors that...

This paper presents a general framework for speciication and detection of properties in distributed computations. A property of states in distributed computation in progress is deened by predicates (called behavioral patterns) and satisfaction rules (called modal operators). A behavioral pattern is obtained by combining basic predicates that are deened over either local states or consistent glo...

Recently, knowledge Discovery Process has proven to be a promising tool for extracting behavioral patterns regarding sensor nodes from wireless sensor networks. This paper presents a review of the available literature on the sensor association rules to find behavioral patterns between the sensor data.

There is a long-standing interest in hidden temporal patterns in behavior. The current chapter discusses the idea that face-to-face interaction can be construed as having a definite organization or structure, just as language is understood in terms of its grammar. The participant has, within that organization, options he can exercise, including the option of violating aspects of the organizatio...

BACKGROUND Recent studies show several health-related behaviors to cluster in adolescents. This has important implications for public health. Interrelated behaviors have been shown to be most effectively targeted by multimodal interventions addressing wider-ranging improvements in lifestyle instead of via separate interventions targeting individual behaviors. However, few previous studies have ...