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https://www.readbyqxmd.com/read/28613808/sensitivity-enhanced-wearable-active-voiceprint-sensor-based-on-cellular-polypropylene-piezoelectret
#1
Wenbo Li, Sheng Zhao, Nan Wu, Junwen Zhong, Bo Wang, Shizhe Lin, Shuwen Chen, Fang Yuan, Hulin Jiang, Yongjun Xiao, Bin Hu, Jun Zhou
Wearable active sensors have extensive applications in mobile biosensing and human-machine interaction but require good flexibility, high sensitivity, excellent stability, and self-powered feature. In this work, cellular polypropylene (PP) piezoelectret was chosen as the core material of a sensitivity-enhanced wearable active voiceprint sensor (SWAVS) to realize voiceprint recognition. By virtue of the dipole orientation control method, the air layers in the piezoelectret were efficiently utilized, and the current sensitivity was enhanced (from 1...
July 19, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28536089/smart-devices-for-older-adults-managing-chronic-disease-a-scoping-review
#2
REVIEW
Ben Yb Kim, Joon Lee
BACKGROUND: The emergence of smartphones and tablets featuring vastly advancing functionalities (eg, sensors, computing power, interactivity) has transformed the way mHealth interventions support chronic disease management for older adults. Baby boomers have begun to widely adopt smart devices and have expressed their desire to incorporate technologies into their chronic care. Although smart devices are actively used in research, little is known about the extent, characteristics, and range of smart device-based interventions...
May 23, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28531157/hybrid-aware-model-for-senior-wellness-service-in-smart-home
#3
Yuchae Jung
Smart home technology with situation-awareness is important for seniors to improve safety and security. With the development of context-aware computing, wearable sensor technology, and ubiquitous computing, it is easier for seniors to manage their health problem in smart home environment. For monitoring senior activity in smart home, wearable, and motion sensors-such as respiration rate (RR), electrocardiography (ECG), body temperature, and blood pressure (BP)-were used for monitoring movements of seniors. For context-awareness, environmental sensors-such as gas, fire, smoke, dust, temperature, and light sensors-were used for senior location data collection...
May 22, 2017: Sensors
https://www.readbyqxmd.com/read/28475590/benchmarking-desktop-and-mobile-handwriting-across-cots-devices-the-e-biosign-biometric-database
#4
Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales, Javier Ortega-Garcia
This paper describes the design, acquisition process and baseline evaluation of the new e-BioSign database, which includes dynamic signature and handwriting information. Data is acquired from 5 different COTS devices: three Wacom devices (STU-500, STU-530 and DTU-1031) specifically designed to capture dynamic signatures and handwriting, and two general purpose tablets (Samsung Galaxy Note 10.1 and Samsung ATIV 7). For the two Samsung tablets, data is collected using both pen stylus and also the finger in order to study the performance of signature verification in a mobile scenario...
2017: PloS One
https://www.readbyqxmd.com/read/28441331/improving-biometric-based-authentication-schemes-with-smart-card-revocation-reissue-for-wireless-sensor-networks
#5
Jongho Moon, Donghoon Lee, Youngsook Lee, Dongho Won
User authentication in wireless sensor networks is more difficult than in traditional networks owing to sensor network characteristics such as unreliable communication, limited resources, and unattended operation. For these reasons, various authentication schemes have been proposed to provide secure and efficient communication. In 2016, Park et al. proposed a secure biometric-based authentication scheme with smart card revocation/reissue for wireless sensor networks. However, we found that their scheme was still insecure against impersonation attack, and had a problem in the smart card revocation/reissue phase...
April 25, 2017: Sensors
https://www.readbyqxmd.com/read/28368842/robust-gait-recognition-by-integrating-inertial-and-rgbd-sensors
#6
Qin Zou, Lihao Ni, Qian Wang, Qingquan Li, Song Wang
Gait has been considered as a promising and unique biometric for person identification. Traditionally, gait data are collected using either color sensors, such as a CCD camera, depth sensors, such as a Microsoft Kinect, or inertial sensors, such as an accelerometer. However, a single type of sensors may only capture part of the dynamic gait features and make the gait recognition sensitive to complex covariate conditions, leading to fragile gait-based person identification systems. In this paper, we propose to combine all three types of sensors for gait data collection and gait recognition, which can be used for important identification applications, such as identity recognition to access a restricted building or area...
March 29, 2017: IEEE Transactions on Cybernetics
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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...
March 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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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