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Visual behavior recognition is currently a highly active research area. This is due both to the scientific challenge posed by the complexity of the task, and to the growing interest in its applications, such as automated visual surveillance, human-computer ...
Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of higher flexibility and association of semantics to the model. Ideally, a place rec ...
This paper describes a noninvasive electromyography (EMG) signal-based computer interface and a performance evaluation method based on Fitts' law. The EMG signals induced by volitional wrist movements were acquired from four sites in the lower arm to extra ...
This paper addresses two problems: Firstly, the problem of classifying remote and collocated small-group working meet- ings, and secondly, the problem of identifying the remote participant, using in both cases nonverbal behavioral cues. Such classifiers ca ...
We use a general hill-climbing attack algorithm based on Bayesian adaption to test the vulnerability of an Eigenface-based approach for face recognition against indirect attacks. The attacking technique uses the scores provided by the matcher to adapt a gl ...
Activity recognition has primarily addressed the identification of either actions or well-defined interactions among objects in a scene. In this work, we extend the scope to the study of workflow monitoring. In a workflow, ordered groups of activities (pha ...
We investigate Al2O3- and ZrO2/InAlN/GaN metal-oxide-semiconductor heterostructures (MOS-H) using capacitance-time transients in the temperature range of 25-300 degrees C. A deep-level transient spectroscopy based analysis revealed the maximum interface st ...
Augmented tabletops have recently attracted considerable attention in the literature. However, little has been known about the effects that these interfaces have on learning tasks. In this paper, we report on the results of an empirical study that explores ...
This paper addresses the problem of discovering conversa- tional group dynamics from nonverbal cues extracted from thin-slices of interaction. We first propose and analyze a novel thin-slice interaction descriptor - a bag of group non- verbal patterns - wh ...
Due to its intrinsic complexity. full-body postural input has been Mostly limited to off-line motion capture and to on-line Puppetry of a virtual character with little interaction with its environment (e.g. floor). The motion capture technology is now matu ...
