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For mobile robots to localize robustly, actively considering the perception requirement at the planning stage is essential. In this paper, we propose a novel representation for active visual localization. By formulating the Fisher information and sensor vi ...
Tactile feedback has the capability of reducing the workload on the visual channel, during visual feedback in brain-computer interfaces (BCIs). It is requisite to analyse the brain signals corresponding to the tactile stimulations. This work is aimed at an ...
In our experience of daylit architecture, our visual perception is greatly impacted by the ephemeral and inherently dynamic conditions of the surrounding environment. Driven by changes in sky type, time-of-day, and time-of-year, these variable conditions c ...
Encoding of visual information in the brain is retinotopic: Neighboring points in the visual field are mapped onto neighboring photoreceptors in the retina, and these neighborhood relations are maintained in the early stages of cortical processing. However ...
This paper will present an annual simulation-based workflow for assessing human perceptual and non-visual responses to daylight across a series of view positions in an architectural case study. Through the integration of mathematical models used to predict ...
Perceptual learning is usually assumed to occur within sensory areas or when sensory evidence is mapped onto decisions. Subsequent procedural and motor processes, involved in most perceptual learning experiments, are thought to play no role in the learning ...
Association for Research in Vision and Ophthalmology2017
Aging affects all kinds of human functions including perception and cognition. In most perceptual studies, one paradigm is tested and it is usually found that older participants perform worse than younger participants. Implicitly, these results are taken a ...
The aim of this study is to test the hypotheses that a multi-modality sensory feedback device, incorporating mechanotactile and vibrotactile feedback can increase the subjects’ performance in localization and intensity discrimination.To the best of our kno ...
Deep neural networks have recently shown impressive classification performance on a diverse set of visual tasks. When deployed in real-world (noise-prone) environments, it is equally important that these classifiers satisfy robustness guarantees: small per ...
Institute of Electrical and Electronics Engineers2017
The aim of this study is to test the hypotheses that a multi-modality sensory feedback device, incorporating mechanotactile and vibrotactile feedback can increase the subjects’ performance in localization and intensity discrimination.To the best of our kno ...