Abstract: Fingerprint recognition technologies rely largely on minute details. As multiple previous research investigations have shown fingerprint scans high quality responses from automatic ...
Abstract: In today's rapidly advancing era of intelligence and digitalization, gesture recognition, as a natural and efficient interaction method, has become an important research direction in the ...
Abstract: To enhance the recognition performance of flexible tactile sensing systems in human-computer interaction (HCI), this letter proposes a tactile signal recognition method for polyvinylidene ...
Abstract: The identification and analysis of human daily activities has garnered substantial attention in recent years, driven by its expansive applications in areas including healthcare, surveillance ...
👋 Welcome to 5 Things PM! Excessive alcohol use is pretty common, with 17% of adults in the US reporting binge drinking. Researchers explain why some people can’t stop — even when they know it’s ...
The biggest chains in America are using facial recognition technology to try to stop shoplifting. But most customers are unaware their faces are being scanned while they shop. Facial recognition isn’t ...
Abstract: This article presents an enhanced 2-D dynamic-kernel convolutional neural network (2-D DK-CNN) framework for nonlinear radio frequency (RF) device frequency domain behavioral modeling. The ...
Abstract: Fiber-optic distributed acoustic sensor (DAS) offers great potential for railway event monitoring due to its high sensitivity and robustness in complex environments. However, accurate ...
Abstract: Bangla Sign Language (BdSL) is essential for communication among the hearing-impaired in Bangladesh, yet existing recognition systems face challenges with generalization, real-time ...
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