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https://www.readbyqxmd.com/read/29232871/thin-film-quantum-dot-photodiode-for-monolithic-infrared-image-sensors
#1
Pawel E Malinowski, Epimitheas Georgitzikis, Jorick Maes, Ioanna Vamvaka, Fortunato Frazzica, Jan Van Olmen, Piet De Moor, Paul Heremans, Zeger Hens, David Cheyns
Imaging in the infrared wavelength range has been fundamental in scientific, military and surveillance applications. Currently, it is a crucial enabler of new industries such as autonomous mobility (for obstacle detection), augmented reality (for eye tracking) and biometrics. Ubiquitous deployment of infrared cameras (on a scale similar to visible cameras) is however prevented by high manufacturing cost and low resolution related to the need of using image sensors based on flip-chip hybridization. One way to enable monolithic integration is by replacing expensive, small-scale III-V-based detector chips with narrow bandgap thin-films compatible with 8- and 12-inch full-wafer processing...
December 10, 2017: Sensors
https://www.readbyqxmd.com/read/29094166/the-relationship-between-high-order-aberration-and-anterior-ocular-biometry-during-accommodation-in-young-healthy-adults
#2
Bilian Ke, Xinjie Mao, Hong Jiang, Jichang He, Che Liu, Min Li, Ying Yuan, Jianhua Wang
Purpose: This study investigated the anterior ocular anatomic origin of high-order aberration (HOA) components using optical coherence tomography and a Shack-Hartmann wavefront sensor. Methods: A customized system was built to simultaneously capture images of ocular wavefront aberrations and anterior ocular biometry. Relaxed, 2-diopter (D) and 4-D accommodative states were repeatedly measured in 30 young subjects. Custom software was used to correct optical distortions and measure biometric parameters from the images...
November 1, 2017: Investigative Ophthalmology & Visual Science
https://www.readbyqxmd.com/read/29060797/nfc-enabled-tattoo-like-stretchable-biosensor-manufactured-by-cut-and-paste-method
#3
Hyoyoung Jeong, Taewoo Ha, Irene Kuang, Linxiao Shen, Zhaohe Dai, Nan Sun, Nanshu Lu
The wearables industry is lacking in devices that have the ability to provide valuable biometrics data in a soft, wireless and disposable system. Such a system should be high performance, multifunctional, but battery-free and low cost. Near field communication (NFC) is a wireless communication protocol built in many smartphones nowadays that can read data from battery-free passive tags. As a result, NFC-enabled wearable biosensors have been reported, but they are either unstretchable or have to be manufactured by labor- and time-intensive photolithography and transfer-printing processes...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28971427/iot-contextual-factors-on-healthcare
#4
Konstantinos Michalakis, George Caridakis
With the emergence of the Internet of Things, new services in healthcare will be available and existing systems will be integrated in the IoT framework, providing automated medical supervision and efficient medical treatment. Context awareness plays a critical role in realizing the vision of the IoT, providing rich contextual information that can help the system act more efficiently. Since context in healthcare has its unique characteristics, it is necessary to define an appropriate context aware framework for healthcare IoT applications...
2017: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/28953837/emotionally-responsive-wearable-technology-and-stress-detection-for-affective-disorders
#5
Jenny Tillotson
As humans, we are born with no knowledge of odour. Our sense of smell is linked directly to the limbic system, the emotional part of our brain responsible for memory and behaviour, and therefore, our individual sense of smell is based purely on life's deep experiences and impressions. The roots of "Aromatherapy" can be traced back more than 3,500 years, to a time when essential oils were first recorded in human history for their therapeutic and medicinal properties. However, in the 21(st) century, it remains one of the most controversial complementary therapies applied in medicine because of its pseudoscience connotations and limited available data on health benefits, despite the importance of smell on human health...
September 2017: Psychiatria Danubina
https://www.readbyqxmd.com/read/28887875/fast-subsurface-fingerprint-imaging-with-full-field-optical-coherence-tomography-system-equipped-with-a-silicon-camera
#6
Egidijus Auksorius, A Claude Boccara
Images recorded below the surface of a finger can have more details and be of higher quality than the conventional surface fingerprint images. This is particularly true when the quality of the surface fingerprints is compromised by, for example, moisture or surface damage. However, there is an unmet need for an inexpensive fingerprint sensor that is able to acquire high-quality images deep below the surface in short time. To this end, we report on a cost-effective full-field optical coherent tomography system comprised of a silicon camera and a powerful near-infrared LED light source...
September 2017: Journal of Biomedical Optics
https://www.readbyqxmd.com/read/28613808/sensitivity-enhanced-wearable-active-voiceprint-sensor-based-on-cellular-polypropylene-piezoelectret
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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