Results 61 to 70 of about 794,479 (213)
Sensors, 2022 Nowadays, the demand for soft-biometric-based devices is increasing rapidly because of the huge use of electronics items such as mobiles, laptops and electronic gadgets in daily life.
Sandeep Kumar +6 more
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Using comparative human descriptions for soft biometrics [PDF]
2011 International Joint Conference on Biometrics (IJCB), 2011 Soft biometrics is a new form of biometric identification which utilizes labeled physical or behavioral traits. Although these traits intuitively have less discriminatory capability than mensurate approaches, they offer several advantages over traditional biometric techniques.
Daniel A. Reid, Mark S. Nixon
openaire +3 more sources
Advanced Intelligent Discovery, EarlyView.Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Identifying customer behaviour and dwell time using soft biometrics [PDF]
, 2012 In a commercial environment, it is advantageous to know how long it takes customers to move between different regions, how long they spend in each region, and where they are likely to go as they move from one location to another.
Fookes, Clinton B. +9 more
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Biometrics Institute 20th Anniversary Report [PDF]
, 2021 The purpose of this report is to mark the 20-year anniversary of the Biometrics Institute on the 11 October 2021. More importantly, however, this report celebrates the work of the Biometrics Institute over the past twenty years, which together with the ...
Leaton Gray, S
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A Novel Dense-Swish-CNN With Bi-LSTM Framework for Image Deepfake Detection
IEEE AccessArtificial intelligence (AI) developments have revolutionized technologies and methodologies, particularly for malicious uses, especially since the advent of generative adversarial networks (GANs) in 2014.
B. C. Soundarya, H. L. Gururaj
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EPYNET: Efficient Pyramidal Network for Clothing Segmentation
IEEE Access, 2020 Soft biometrics traits extracted from a human body, including the type of clothes, hair color, and accessories, are useful information used for people tracking and identification. Semantic segmentation of these traits from images is still a challenge for
Andrei De Souza Inacio +1 more
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Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
On the Preservation of Soft-Biometric Information in Biometric Face Embeddings
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 The development of deeply-learned features is the foundation for the success of contemporary face recognition systems. These embeddings are designed to encode a person's identity so that they can be used for identification. Recent studies, however, have demonstrated that these embeddings also store information on demographics, image qualities, and ...
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Soft Active Electromyography Interface for Machine Learning‐Enabled Silent Speech Recognition
Advanced Intelligent Systems, EarlyView.A soft, hand‐worn electromyography interface enables intent‐driven silent speech recognition without continuous facial attachment. The device integrates liquid‐metal interconnects, a transparent flexible circuit, and elastomer encapsulation with a fingertip electrode that contacts perioral muscles only on demand.
Yuta Kurotaki +8 more
wiley +1 more source