We present a novel device mounted on the fingertip for acquiring and transmitting visual information through haptic channels. In contrast to previous systems in which the user interrogates an intermediate representation of visual information, such as a tactile display representing a camera generated image, our device uses a fingertip-mounted camera and haptic stimulator to allow the user to feel visual features directly from the environment. Visual features ranging from simple intensity or oriented edges to more complex information identified automatically about objects in the environment may be translated in this manner into haptic stimulation of the finger. Experiments using an initial prototype to trace a continuous straight edge have quantified the user's ability to discriminate the angle of the edge, a potentially useful feature for higher levels analysis of the visual scene.
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http://dx.doi.org/10.1109/JTEHM.2014.2309343 | DOI Listing |
J Agric Food Chem
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Institute of Food Chemistry, Technische Universität Braunschweig, Schleinitzstraße 20, 38106 Braunschweig, Germany.
Visually appealing foods are often associated by consumers with subjective quality features, such as freshness, palatability, and shelf life. In the past, there have been repeated violations in which regulations on the use of pigments in food were ignored and/or unauthorized or toxic dyes (e.g.
View Article and Find Full Text PDFMed Phys
January 2025
Deparment of Radiation Oncology, Duke University, Durham, North Carolina, USA.
Background: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major clinical challenge, as conventional imaging techniques often necessitate surgical biopsy for accurate diagnosis. Machine learning and deep learning models have shown potential in distinguishing radionecrosis from tumor recurrence.
View Article and Find Full Text PDFLang Speech
January 2025
Department of Communication Sciences and Disorders, University of Haifa, Israel.
This study investigated the role of systematicity in word learning, focusing on Semitic morpho-phonology where words exhibit multiple levels of systematicity. Building upon previous research on phonological templates, we explored how systematicity based on such templates, whether they encode meanings or not, influenced word learning in preschool-age Hebrew-speaking children. We examined form-meaning systematicity, where words share phonological templates and carry similar categorical meanings of manner-of-motion (e.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
School of Information Science & Engineering, Lanzhou University, Lanzhou 730000, China.
Efficient and accurate drug-target affinity (DTA) prediction can significantly accelerate the drug development process. Recently, deep learning models have been widely applied to DTA prediction and have achieved notable success. However, existing methods often encounter several common issues: first, the data representations lack sufficient information; second, the extracted features are not comprehensive; and third, most methods lack interpretability when modeling drug-target binding.
View Article and Find Full Text PDFJ Eye Mov Res
December 2024
Department of Marine Design Convergence Engineering, Pukyong National University, Korea.
This study aims to explore the distribution of visual attention on sustainability graphics when viewing an eco-friendly product and the recall of sustainability information afterward. Twenty-five students majoring in environmental studies and twenty-five students from non-environmental majors participated in the study. They were further divided into a higher group and a lower group based on their sustainability level.
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