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Biometric sensor

Alberto Izquierdo, Juan José Villacorta, Lara Del Val Puente, Luis Suárez
This paper proposes a scalable and multi-platform framework for signal acquisition and processing, which allows for the generation of acoustic images using planar arrays of MEMS (Micro-Electro-Mechanical Systems) microphones with low development and deployment costs. Acoustic characterization of MEMS sensors was performed, and the beam pattern of a module, based on an 8 × 8 planar array and of several clusters of modules, was obtained. A flexible framework, formed by an FPGA, an embedded processor, a computer desktop, and a graphic processing unit, was defined...
October 11, 2016: Sensors
Naveen N Jason, Stephen J Wang, Sushrut Bhanushali, Wenlong Cheng
This work demonstrates a facile "paint-on" approach to fabricate highly stretchable and highly sensitive strain sensors by combining one-dimensional copper nanowire networks with two-dimensional graphite microflakes. This paint-on approach allows for the fabrication of electronic skin (e-skin) patches which can directly replicate with high fidelity the human skin surface they are on, regardless of the topological complexity. This leads to high accuracy for detecting biometric signals for applications in personalised wearable sensors...
September 22, 2016: Nanoscale
Siegfried Jahnke, Johanna Roussel, Thomas Hombach, Johannes Kochs, Andreas Fischbach, Gregor Huber, Hanno Scharr
The enormous diversity of seed traits is an intriguing feature and critical for the overwhelming success of higher plants. In particular seed mass is generally regarded to be key for seedling development but is mostly approximated by using scanning methods delivering only 2D data, often termed "seed size". However, 3D traits such as volume or mass of single seeds are very rarely determined in routine measurements. Here we introduce a device named phenoSeeder which enables handling and phenotyping of individual seeds of very different sizes...
September 23, 2016: Plant Physiology
Kieran C O'Doherty, Emily Christofides, Jeffery Yen, Heidi Beate Bentzen, Wylie Burke, Nina Hallowell, Barbara A Koenig, Donald J Willison
BACKGROUND: Health research increasingly relies on organized collections of health data and biological samples. There are many types of sample and data collections that are used for health research, though these are collected for many purposes, not all of which are health-related. These collections exist under different jurisdictional and regulatory arrangements and include: 1) Population biobanks, cohort studies, and genome databases 2) Clinical and public health data 3) Direct-to-consumer genetic testing 4) Social media 5) Fitness trackers, health apps, and biometric data sensors Ethical, legal, and social challenges of such collections are well recognized, but there has been limited attention to the broader societal implications of the existence of these collections...
2016: BMC Medical Ethics
Juan-Miguel López-Gil, Jordi Virgili-Gomá, Rosa Gil, Roberto García
Technical advances, particularly the integration of wearable and embedded sensors, facilitate tracking of physiological responses in a less intrusive way. Currently, there are many devices that allow gathering biometric measurements from human beings, such as EEG Headsets or Health Bracelets. The massive data sets generated by tracking of EEG and physiology may be used, among other things, to infer knowledge about human moods and emotions. Apart from direct biometric signal measurement, eye tracking systems are nowadays capable of determining the point of gaze of the users when interacting in ICT environments, which provides an added value research on many different areas, such as psychology or marketing...
2016: Frontiers in Computational Neuroscience
Stephen J Guastello, Katherine E Reiter, Matthew Malon
The effects of workload, fatigue, and practice on the performance of cognitive tasks are often intertwined. Previous research has shown that these influences can be separated with the two cusp catastrophe models. This study expanded an earlier investigation of the two models for workload and fatigue in a vigilance task to include a wider range of bifurcation variables that could affect the elasticity versus rigidity of the operator in response to workload and added performance variability resulting from fatigue...
October 2016: Nonlinear Dynamics, Psychology, and Life Sciences
ChinLun Lai, ChiuYuan Tai
In this paper, a smart face liveness detector is proposed to prevent the biometric system from being "deceived" by the video or picture of a valid user that the counterfeiter took with a high definition handheld device (e.g., iPad with retina display). By analyzing the characteristics of the display platform and using an expert decision-making core, we can effectively detect whether a spoofing action comes from a fake face displayed in the high definition display by verifying the chromaticity regions in the captured face...
2016: Sensors
Bernard Munos, Pamela C Baker, Brian M Bot, Michelle Crouthamel, Glen de Vries, Ian Ferguson, John D Hixson, Linda A Malek, John J Mastrototaro, Veena Misra, Aydogan Ozcan, Leonard Sacks, Pei Wang
Mobile technology has become a ubiquitous part of everyday life, and the practical utility of mobile devices for improving human health is only now being realized. Wireless medical sensors, or mobile biosensors, are one such technology that is allowing the accumulation of real-time biometric data that may hold valuable clues for treating even some of the most devastating human diseases. From wearable gadgets to sophisticated implantable medical devices, the information retrieved from mobile technology has the potential to revolutionize how clinical research is conducted and how disease therapies are delivered in the coming years...
July 2016: Annals of the New York Academy of Sciences
Michael Palace, Franklin B Sullivan, Mark Ducey, Christina Herrick
Forest structure comprises numerous quantifiable biometric components and characteristics, which include tree geometry and stand architecture. These structural components are important in the understanding of the past and future trajectories of these biomes. Tropical forests are often considered the most structurally complex and yet least understood of forested ecosystems. New technologies have provided novel avenues for quantifying biometric properties of forested ecosystems, one of which is LIght Detection And Ranging (lidar)...
2016: PloS One
Steffen Peter, Bhanu Pratap Reddy, Farshad Momtaz, Tony Givargis
Body area sensor networks (BANs) utilize wireless communicating sensor nodes attached to a human body for convenience, safety, and health applications. Physiological characteristics of the body, such as the heart rate or Electrocardiogram (ECG) signals, are promising means to simplify the setup process and to improve security of BANs. This paper describes the design and implementation steps required to realize an ECG-based authentication protocol to identify sensor nodes attached to the same human body. Therefore, the first part of the paper addresses the design of a body-area sensor system, including the hardware setup, analogue and digital signal processing, and required ECG feature detection techniques...
2016: Sensors
Chunlei Peng, Xinbo Gao, Nannan Wang, Jie Li
Heterogeneous face recognition (HFR) refers to matching face images acquired from different sources (i.e., different sensors or different wavelengths) for identification. HFR plays an important role in both biometrics research and industry. In spite of promising progresses achieved in recent years, HFR is still a challenging problem due to the difficulty to represent two heterogeneous images in a homogeneous manner. Existing HFR methods either represent an image ignoring the spatial information, or rely on a transformation procedure which complicates the recognition task...
March 16, 2016: IEEE Transactions on Pattern Analysis and Machine Intelligence
Qaiser Riaz, Anna Vögele, Björn Krüger, Andreas Weber
A number of previous works have shown that information about a subject is encoded in sparse kinematic information, such as the one revealed by so-called point light walkers. With the work at hand, we extend these results to classifications of soft biometrics from inertial sensor recordings at a single body location from a single step. We recorded accelerations and angular velocities of 26 subjects using integrated measurement units (IMUs) attached at four locations (chest, lower back, right wrist and left ankle) when performing standardized gait tasks...
2015: Sensors
Chih-Lung Lin, Shih-Hung Wang, Hsu-Yung Cheng, Kuo-Chin Fan, Wei-Lieh Hsu, Chin-Rong Lai
In this paper, we present a reliable and robust biometric verification method based on bimodal physiological characteristics of palms, including the palmprint and palm-dorsum vein patterns. The proposed method consists of five steps: (1) automatically aligning and cropping the same region of interest from different palm or palm-dorsum images; (2) applying the digital wavelet transform and inverse wavelet transform to fuse palmprint and vein pattern images; (3) extracting the line-like features (LLFs) from the fused image; (4) obtaining multiresolution representations of the LLFs by using a multiresolution filter; and (5) using a support vector machine to verify the multiresolution representations of the LLFs...
2015: Sensors
Ana Domingues, Filipa Barbosa, Eduardo M Pereira, Márcio Borgonovo Santos, Adérito Seixas, João Vilas-Boas, Joaquim Gabriel, Ricardo Vardasca
Anthropometry has been widely used in different fields, providing relevant information for medicine, ergonomics and biometric applications. However, the existent solutions present marked disadvantages, reducing the employment of this type of evaluation. Studies have been conducted in order to easily determine anthropometric measures considering data provided by low-cost sensors, such as the Microsoft Kinect. In this work, a methodology is proposed and implemented for estimating anthropometric measures considering the information acquired with this sensor...
2016: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
Marcos DelPozo-Banos, Carlos M Travieso, Christoph T Weidemann, Jesús B Alonso
OBJECTIVE: Although interest in using electroencephalogram (EEG) activity for subject identification has grown in recent years, the state of the art still lacks a comprehensive exploration of the discriminant information within it. This work aims to fill this gap, and in particular, it focuses on the time-frequency representation of the EEG. APPROACH: We executed qualitative and quantitative analyses of six publicly available data sets following a sequential experimentation approach...
October 2015: Journal of Neural Engineering
Sebastijan Sprager, Matjaz B Juric
With the recent development of microelectromechanical systems (MEMS), inertial sensors have become widely used in the research of wearable gait analysis due to several factors, such as being easy-to-use and low-cost. Considering the fact that each individual has a unique way of walking, inertial sensors can be applied to the problem of gait recognition where assessed gait can be interpreted as a biometric trait. Thus, inertial sensor-based gait recognition has a great potential to play an important role in many security-related applications...
2015: Sensors
Allan Pinto, Helio Pedrini, William Robson Schwartz, Anderson Rocha
Despite important recent advances, the vulnerability of biometric systems to spoofing attacks is still an open problem. Spoof attacks occur when impostor users present synthetic biometric samples of a valid user to the biometric system seeking to deceive it. Considering the case of face biometrics, a spoofing attack consists in presenting a fake sample (e.g., photograph, digital video, or even a 3D mask) to the acquisition sensor with the facial information of a valid user. In this paper, we introduce a low cost and software-based method for detecting spoofing attempts in face recognition systems...
December 2015: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Yong-Sung Kim, Yong-Suk Kim
There are several methods available in measuring food taste. The sensory evaluation, for instance, is a typical method for panels to test of taste and recognize smell with their nose by measuring the degree of taste characteristic, intensity, and pleasure. There are many issues entailed in the traditional sensory evaluation method such as forming a panel and evaluation cost; moreover, it is only localized in particular areas. Accordingly, this paper aimed to select food in one particular area, and compare and review the content between sensory evaluations using a taste biological sensor, as well as presenting an analysis of brainwaves using EEG and finally a proposal of a new method for sensory evaluation...
2015: BioMed Research International
Hyunsoek Choi, Hyeyoung Park
As a novel approach to perform user authentication, we propose a multimodal biometric system that uses faces and gestures obtained from a single vision sensor. Unlike typical multimodal biometric systems using physical information, the proposed system utilizes gesture video signals combined with facial images. Whereas physical information such as face, fingerprints, and iris is fixed and not changeable, behavioral information such as gestures and signatures can be freely changed by the user, similar to a password...
2015: BioMed Research International
Tuyen Danh Pham, Young Ho Park, Dat Tien Nguyen, Seung Yong Kwon, Kang Ryoung Park
Biometrics is a technology that enables an individual person to be identified based on human physiological and behavioral characteristics. Among biometrics technologies, face recognition has been widely used because of its advantages in terms of convenience and non-contact operation. However, its performance is affected by factors such as variation in the illumination, facial expression, and head pose. Therefore, fingerprint and iris recognitions are preferred alternatives. However, the performance of the former can be adversely affected by the skin condition, including scarring and dryness...
2015: Sensors
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