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https://www.readbyqxmd.com/read/28314707/biometrics-and-policing-a-protocol-for-multichannel-sensor-data-collection-and-exploratory-analysis-of-contextualized-psychophysiological-response-during-law-enforcement-operations
#1
Robert D Furberg, Travis Taniguchi, Brian Aagaard, Alexa M Ortiz, Meghan Hegarty-Craver, Kristin H Gilchrist, Ty A Ridenour
BACKGROUND: Stress experienced by law enforcement officers is often extreme and is in many ways unique among professions. Although past research on officer stress is informative, it is limited, and most studies measure stress using self-report questionnaires or observational studies that have limited generalizability. We know of no research studies that have attempted to track direct physiological stress responses in high fidelity, especially within an operational police setting. The outcome of this project will have an impact on both practitioners and policing researchers...
March 17, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28300781/erratum-sandeep-p-et-al-an-efficient-biometric-based-algorithm-using-heart-rate-variability-for-securing-body-sensor-networks-sensors-2015-15-15067-15089
#2
Sandeep Pirbhulal, Heye Zhang, Subhas Chandra Mukhopadhyay, Chunyue Li, Yumei Wang, Guanglin Li, Wanqing Wu, Yuan-Ting Zhang
n/a.
March 16, 2017: Sensors
https://www.readbyqxmd.com/read/28272368/use-of-wearable-sensors-and-biometric-variables-in-an-artificial-pancreas-system
#3
Kamuran Turksoy, Colleen Monforti, Minsun Park, Garett Griffith, Laurie Quinn, Ali Cinar
An artificial pancreas (AP) computes the optimal insulin dose to be infused through an insulin pump in people with Type 1 Diabetes (T1D) based on information received from a continuous glucose monitoring (CGM) sensor. It has been recognized that exercise is a major challenge in the development of an AP system. The use of biometric physiological variables in an AP system may be beneficial for prevention of exercise-induced challenges and better glucose regulation. The goal of the present study is to find a correlation between biometric variables such as heart rate (HR), heat flux (HF), skin temperature (ST), near-body temperature (NBT), galvanic skin response (GSR), and energy expenditure (EE), 2D acceleration-mean of absolute difference (MAD) and changes in glucose concentrations during exercise via partial least squares (PLS) regression and variable importance in projection (VIP) in order to determine which variables would be most useful to include in a future artificial pancreas...
March 7, 2017: Sensors
https://www.readbyqxmd.com/read/28269563/detecting-divisions-of-the-autonomic-nervous-system-using-wearables
#4
Annamalai Natarajan, Kevin S Xu, Brian Eriksson
The ability to assess a user's emotional reaction from biometrics has applications in personalization, recommendation, and enhancing user experiences, among other areas. Unfortunately, understanding the connection between biometric signals and user reactions has previously focused on black box techniques that are opaque to the underlying physiology of the user. In this paper, we explore a novel user study connecting biometric reaction to external stimuli and changes in the user's autonomic nervous system. Specifically, we focus on two competing responses, namely the sympathetic and parasympathetic nervous system, and how differing activations are related to different user responses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28237714/application-of-data-fusion-techniques-and-technologies-for-wearable-health-monitoring
#5
REVIEW
Rachel C King, Emma Villeneuve, Ruth J White, R Simon Sherratt, William Holderbaum, William S Harwin
Technological advances in sensors and communications have enabled discrete integration into everyday objects, both in the home and about the person. Information gathered by monitoring physiological, behavioural, and social aspects of our lives, can be used to achieve a positive impact on quality of life, health, and well-being. Wearable sensors are at the cusp of becoming truly pervasive, and could be woven into the clothes and accessories that we wear such that they become ubiquitous and transparent. To interpret the complex multidimensional information provided by these sensors, data fusion techniques are employed to provide a meaningful representation of the sensor outputs...
February 22, 2017: Medical Engineering & Physics
https://www.readbyqxmd.com/read/28230745/toward-improving-electrocardiogram-ecg-biometric-verification-using-mobile-sensors-a-two-stage-classifier-approach
#6
Robin Tan, Marek Perkowski
Electrocardiogram (ECG) signals sensed from mobile devices pertain the potential for biometric identity recognition applicable in remote access control systems where enhanced data security is demanding. In this study, we propose a new algorithm that consists of a two-stage classifier combining random forest and wavelet distance measure through a probabilistic threshold schema, to improve the effectiveness and robustness of a biometric recognition system using ECG data acquired from a biosensor integrated into mobile devices...
February 20, 2017: Sensors
https://www.readbyqxmd.com/read/28227818/detecting-divisions-of-the-autonomic-nervous-system-using-wearables
#7
Annamalai Natarajan, Kevin S Xu, Brian Eriksson, Annamalai Natarajan, Kevin S Xu, Brian Eriksson, Kevin S Xu, Brian Eriksson, Annamalai Natarajan
The ability to assess a user's emotional reaction from biometrics has applications in personalization, recommendation, and enhancing user experiences, among other areas. Unfortunately, understanding the connection between biometric signals and user reactions has previously focused on black box techniques that are opaque to the underlying physiology of the user. In this paper, we explore a novel user study connecting biometric reaction to external stimuli and changes in the user's autonomic nervous system. Specifically, we focus on two competing responses, namely the sympathetic and parasympathetic nervous system, and how differing activations are related to different user responses...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28145419/usefulness-of-motion-sensors-to-estimate-energy-expenditure-in-children-and-adults-a-narrative-review-of-studies-using-dlw
#8
REVIEW
L B Sardinha, P B Júdice
It is well documented that meeting moderate-to-vigorous physical activity guidelines of 150 min per week is protective against chronic disease, and this is likely explained by higher energy expenditure (EE). In opposition, sedentary behavior (low EE) seems to impair health outcomes. There are gold standard methods to measure EE such as the doubly labeled water (DLW) or calorimetry. These methods are highly expensive and rely on complex techniques. Motion sensors present a good alternative to estimate EE and have been validated against these reference methods...
February 1, 2017: European Journal of Clinical Nutrition
https://www.readbyqxmd.com/read/28135204/all-inkjet-printed-flexible-zno-micro-photodetector-for-a-wearable-uv-monitoring-device
#9
Van-Thai Tran, Yuefan Wei, Hongyi Yang, Zhaoyao Zhan, Hejun Du
Fabrication of small-sized patterns of inorganic semiconductor onto flexible substrates is a major concern when manufacturing wearable devices for measuring either biometric or environmental parameters. In this study, micro-sized flexible ZnO UV photodetectors have been thoroughly prepared by a facile inkjet printing technology and followed with heat treatments. A simple ink recipe of zinc acetate precursor solution was investigated. It is found that the substrate temperature during zinc precursor ink depositing has significant effects on ZnO pattern shape, film morphology, and crystallization...
January 30, 2017: Nanotechnology
https://www.readbyqxmd.com/read/27983616/three-factor-user-authentication-and-key-agreement-using-elliptic-curve-cryptosystem-in-wireless-sensor-networks
#10
YoHan Park, YoungHo Park
Secure communication is a significant issue in wireless sensor networks. User authentication and key agreement are essential for providing a secure system, especially in user-oriented mobile services. It is also necessary to protect the identity of each individual in wireless environments to avoid personal privacy concerns. Many authentication and key agreement schemes utilize a smart card in addition to a password to support security functionalities. However, these schemes often fail to provide security along with privacy...
December 14, 2016: Sensors
https://www.readbyqxmd.com/read/27941656/an-open-platform-for-seamless-sensor-support-in-healthcare-for-the-internet-of-things
#11
Jorge Miranda, Jorge Cabral, Stefan Rahr Wagner, Christian Fischer Pedersen, Blaise Ravelo, Mukhtiar Memon, Morten Mathiesen
Population aging and increasing pressure on health systems are two issues that demand solutions. Involving and empowering citizens as active managers of their health represents a desirable shift from the current culture mainly focused on treatment of disease, to one also focused on continuous health management and well-being. Current developments in technological areas such as the Internet of Things (IoT), lead to new technological solutions that can aid this shift in the healthcare sector. This study presents the design, development, implementation and evaluation of a platform called Common Recognition and Identification Platform (CRIP), a part of the CareStore project, which aims at supporting caregivers and citizens to manage health routines in a seamless way...
December 8, 2016: Sensors
https://www.readbyqxmd.com/read/27897976/test-of-the-practicality-and-feasibility-of-edof-empowered-image-sensors-for-long-range-biometrics
#12
Sheng-Hsun Hsieh, Yung-Hui Li, Chung-Hao Tien
For many practical applications of image sensors, how to extend the depth-of-field (DoF) is an important research topic; if successfully implemented, it could be beneficial in various applications, from photography to biometrics. In this work, we want to examine the feasibility and practicability of a well-known "extended DoF" (EDoF) technique, or "wavefront coding," by building real-time long-range iris recognition and performing large-scale iris recognition. The key to the success of long-range iris recognition includes long DoF and image quality invariance toward various object distance, which is strict and harsh enough to test the practicality and feasibility of EDoF-empowered image sensors...
November 25, 2016: Sensors
https://www.readbyqxmd.com/read/27727174/design-and-evaluation-of-a-scalable-and-reconfigurable-multi-platform-system-for-acoustic-imaging
#13
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
https://www.readbyqxmd.com/read/27714094/skin-inspired-fractal-strain-sensors-using-a-copper-nanowire-and-graphite-microflake-hybrid-conductive-network
#14
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
https://www.readbyqxmd.com/read/27663410/phenoseeder-a-robot-system-for-automated-handling-and-phenotyping-of-individual-seeds
#15
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
https://www.readbyqxmd.com/read/27600117/if-you-build-it-they-will-come-unintended-future-uses-of-organised-health-data-collections
#16
REVIEW
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
https://www.readbyqxmd.com/read/27594831/method-for-improving-eeg-based-emotion-recognition-by-combining-it-with-synchronized-biometric-and-eye-tracking-technologies-in-a-non-invasive-and-low-cost-way
#17
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
https://www.readbyqxmd.com/read/27550706/cognitive-workload-and-fatigue-in-a-vigilance-dual-task-miss-errors-false-alarms-and-the-effect-of-wearing-biometric-sensors-while-working
#18
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
https://www.readbyqxmd.com/read/27455259/a-smart-spoofing-face-detector-by-display-features-analysis
#19
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
https://www.readbyqxmd.com/read/27384501/mobile-health-the-power-of-wearables-sensors-and-apps-to-transform-clinical-trials
#20
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
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