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https://www.readbyqxmd.com/read/28644398/a-novel-wearable-forehead-eog-measurement-system-for-human-computer-interfaces
#1
Jeong Heo, Heenam Yoon, Kwang Suk Park
Amyotrophic lateral sclerosis (ALS) patients whose voluntary muscles are paralyzed commonly communicate with the outside world using eye movement. There have been many efforts to support this method of communication by tracking or detecting eye movement. An electrooculogram (EOG), an electro-physiological signal, is generated by eye movements and can be measured with electrodes placed around the eye. In this study, we proposed a new practical electrode position on the forehead to measure EOG signals, and we developed a wearable forehead EOG measurement system for use in Human Computer/Machine interfaces (HCIs/HMIs)...
June 23, 2017: Sensors
https://www.readbyqxmd.com/read/28641264/a-single-channel-eog-based-speller
#2
Shenghong He, Yuanqing Li
Electrooculography (EOG) signals, which can be used to infer the intentions of a user based on eye movements, are widely used in human-computer interface (HCI) systems. Most existing EOG-based HCI systems incorporate a limited number of commands because they generally associate different commands with a few different types of eye movements, such as looking up, down, left, or right. This paper presents a novel single-channel EOG-based HCI that allows users to spell asynchronously by only blinking. Forty buttons corresponding to 40 characters displayed to the user via a graphical user interface (GUI) are intensified in a random order...
June 15, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28632157/development-of-a-novel-transparent-flexible-capacitive-micromachined-ultrasonic-transducer
#3
Da-Chen Pang, Cheng-Min Chang
This paper presents the world's first transparent flexible capacitive micromachined ultrasonic transducer (CMUT) that was fabricated through a roll-lamination technique. This polymer-based CMUT has advantages of transparency, flexibility, and non-contacting detection which provide unique functions in display panel applications. Comprising an indium tin oxide-polyethylene terephthalate (ITO-PET) substrate, SU-8 sidewall and vibrating membranes, and silver nanowire transparent electrode, the transducer has visible-light transmittance exceeding 80% and can operate on curved surfaces with a 40 mm radius of curvature...
June 20, 2017: Sensors
https://www.readbyqxmd.com/read/28630937/high-precision-neural-decoding-of-complex-movement-trajectories-using-recursive-bayesian-estimation-with-dynamic-movement-primitives
#4
Guy Hotson, Ryan J Smith, Adam G Rouse, Marc H Schieber, Nitish V Thakor, Brock A Wester
Brain-machine interfaces (BMIs) are a rapidly progressing technology with the potential to restore function to victims of severe paralysis via neural control of robotic systems. Great strides have been made in directly mapping a user's cortical activity to control of the individual degrees of freedom of robotic end-effectors. While BMIs have yet to achieve the level of reliability desired for widespread clinical use, environmental sensors (e.g. RGB-D cameras for object detection) and prior knowledge of common movement trajectories hold great potential for improving system performance...
July 2016: IEEE Robotics and Automation Letters
https://www.readbyqxmd.com/read/28615329/physiological-properties-of-brain-machine-interface-input-signals
#5
Marc W Slutzky, Robert D Flint
Brain machine interfaces (BMIs), also called brain computer interfaces (BCIs), decode neural signals and use them to control some type of external device. Despite many experimental successes and terrific demonstrations in animals and humans, a high-performance, clinically-viable device has not yet been developed for widespread usage. There are many factors that impact clinical viability and BMI performance. Arguably the first of these is the selection of brain signals used to control BMIs. Here, we summarize the physiological characteristics and performance-including movement-related information, longevity, and stability-of multiple types of input signals that have been used in invasive BMIs to date...
June 14, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28611621/whole-body-awareness-for-controlling-a-robotic-transfemoral-prosthesis
#6
Andrea Parri, Elena Martini, Joost Geeroms, Louis Flynn, Guido Pasquini, Simona Crea, Raffaele Molino Lova, Dirk Lefeber, Roman Kamnik, Marko Munih, Nicola Vitiello
Restoring locomotion functionality of transfemoral amputees is essential for early rehabilitation treatment and for preserving mobility and independence in daily life. Research in wearable robotics fostered the development of innovative active mechatronic lower-limb prostheses designed with the goal to reduce the cognitive and physical effort of lower-limb amputees in rehabilitation and daily life activities. To ensure benefits to the users, active mechatronic prostheses are expected to be aware of the user intention and properly interact in a closed human-in-the-loop paradigm...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28604609/-highchest-an-augmented-freezer-designed-for-smart-food-management-and-promotion-of-eco-efficient-behaviour
#7
Manuele Bonaccorsi, Stefano Betti, Giovanni Rateni, Dario Esposito, Alessia Brischetto, Marco Marseglia, Paolo Dario, Filippo Cavallo
This paper introduces HighChest, an innovative smart freezer designed to promote energy efficient behavior and the responsible use of food. Introducing a novel human-machine interface (HMI) design developed through assessment phases and a user involvement stage, HighChest is state of the art, featuring smart services that exploit embedded sensors and Internet of things functionalities, which enhance the local capabilities of the appliance. The industrial design thinking approach followed for the advanced HMI is intended to maximize the social impact of the food management service, enhancing both the user experience of the product and the user's willingness to adopt eco- and energy-friendly behaviors...
June 11, 2017: Sensors
https://www.readbyqxmd.com/read/28586238/toward-accountable-discrimination-aware-data-mining-the-importance-of-keeping-the-human-in-the-loop-and-under-the-looking-glass
#8
Bettina Berendt, Sören Preibusch
"Big Data" and data-mined inferences are affecting more and more of our lives, and concerns about their possible discriminatory effects are growing. Methods for discrimination-aware data mining and fairness-aware data mining aim at keeping decision processes supported by information technology free from unjust grounds. However, these formal approaches alone are not sufficient to solve the problem. In the present article, we describe reasons why discrimination with data can and typically does arise through the combined effects of human and machine-based reasoning, and argue that this requires a deeper understanding of the human side of decision-making with data mining...
June 2017: Big Data
https://www.readbyqxmd.com/read/28580999/3d-printable-composite-dough-for-stretchable-ultrasensitive-and-body-patchable-strain-sensors
#9
Ju Young Kim, Seulgi Ji, Sungmook Jung, Beyong-Hwan Ryu, Hyun-Suk Kim, Sun Sook Lee, Youngmin Choi, Sunho Jeong
The recent development of strain sensor devices which can actively monitor human body motion has attracted tremendous attention, for application in various wearable electronics and human-machine interfaces. In this study, as materials for strain sensor devices, we exploit the low-cost, carbon-based, 3-dimensional (3D) printable composite dough. The dough is prepared via a chemical method based on the formation of electrostatic assemblies between 1-dimensional, amine-functionalized, multi-walled carbon nanotubes and 2-dimensional graphene oxides...
June 5, 2017: Nanoscale
https://www.readbyqxmd.com/read/28559792/open-source-low-cost-free-behavior-monitoring-and-reward-system-for-neuroscience-research-in-non-human-primates
#10
Tyler Libey, Eberhard E Fetz
We describe a low-cost system designed to document bodily movement and neural activity and deliver rewards to monkeys behaving freely in their home cage. An important application is to studying brain-machine interface (BMI) systems during free behavior, since brain signals associated with natural movement can differ significantly from those associated with more commonly used constrained conditions. Our approach allows for short-latency (<500 ms) reward delivery and behavior monitoring using low-cost off-the-shelf components...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28558002/electroencephalogram-based-decoding-cognitive-states-using-convolutional-neural-network-and-likelihood-ratio-based-score-fusion
#11
Raheel Zafar, Sarat C Dass, Aamir Saeed Malik
Electroencephalogram (EEG)-based decoding human brain activity is challenging, owing to the low spatial resolution of EEG. However, EEG is an important technique, especially for brain-computer interface applications. In this study, a novel algorithm is proposed to decode brain activity associated with different types of images. In this hybrid algorithm, convolutional neural network is modified for the extraction of features, a t-test is used for the selection of significant features and likelihood ratio-based score fusion is used for the prediction of brain activity...
2017: PloS One
https://www.readbyqxmd.com/read/28541915/embedded-system-for-prosthetic-control-using-implanted-neuromuscular-interfaces-accessed-via-an-osseointegrated-implant
#12
Enzo Mastinu, Pascal Doguet, Yohan Botquin, Bo Hakansson, Max Ortiz-Catalan
Despite the technological progress in robotics achieved in the last decades, prosthetic limbs still lack functionality, reliability, and comfort. Recently, an implanted neuromusculoskeletal interface built upon osseointegration was developed and tested in humans, namely the Osseointegrated Human-Machine Gateway. Here, we present an embedded system to exploit the advantages of this technology. Our artificial limb controller allows for bioelectric signals acquisition, processing, decoding of motor intent, prosthetic control, and sensory feedback...
May 23, 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28541651/channel-crack-designed-gold-pu-sponge-for-highly-elastic-piezoresistive-sensor-with-excellent-detectability
#13
Yun-Hui Wu, Hai-Zhou Liu, Song Chen, Xu-Chu Dong, Ping-Ping Wang, Shu-Qi Liu, Yong Lin, Yong Wei, Lan Liu
It is a great challenge to fabricate piezoresistive sensors that possess high elasticity, large-area compliance, and excellent detectability to satisfy both extremely tiny and large human activity monitoring. Herein, a novel and facile strategy is reported to manufacture highly elastic channel crack-based gold@PU sponge piezoresistive material. The elastic 3D conductive network is successfully prepared by gold ion sputtering, and channel cracks are skillfully designed on the 3D sponge skeletons. Such novel structure makes these fabricated sensors are capable of monitoring both tiny and large human motions, which originate from the nanocrack joint sensing mechanism and physical contact of conductive interconnected network...
June 5, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28538681/human-thalamic-somatosensory-nucleus-ventral-caudal-vc-as-a-locus-for-stimulation-by-inputs-from-tactile-noxious-and-thermal-sensors-on-an-active-prosthesis
#14
REVIEW
Jui Hong Chien, Anna Korzeniewska, Luana Colloca, Claudia Campbell, Patrick Dougherty, Frederick Lenz
The forebrain somatic sensory locus for input from sensors on the surface of an active prosthesis is an important component of the Brain Machine Interface. We now review the neuronal responses to controlled cutaneous stimuli and the sensations produced by Threshold Stimulation at Microampere current levels (TMIS) in such a locus, the human thalamic Ventral Caudal nucleus (Vc). The responses of these neurons to tactile stimuli mirror those for the corresponding class of tactile mechanoreceptor fiber in the peripheral nerve, and TMIS can evoke sensations like those produced by the stimuli that optimally activate each class...
May 24, 2017: Sensors
https://www.readbyqxmd.com/read/28530390/highly-sensitive-durable-and-multifunctional-sensor-inspired-by-a-spider
#15
Chengzhi Luo, Junji Jia, Youning Gong, Zhongchi Wang, Qiang Fu, Chunxu Pan
Sensitivity, durability, and multifunction are the essential requirements for a high-performance wearable sensor. Here, we report a novel multifunctional sensor with high sensitivity and durability by using a buckled spider silk-like single-walled carbon nanotubes (SSL-SWNTs) film as the conducting network and a crack-shaped Au film as the sensitive transducer. Its high sensitivity is inspired by the crack-shaped structure of the spider's slit organs, while the high durability is inspired by the mechanical robustness of the spider silk...
May 31, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28521045/effects-of-ambient-temperature-and-water-vapor-on-chamber-pressure-and-oxygen-level-during-low-atmospheric-pressure-stunning-of-poultry
#16
Paul H Holloway, David G Pritchard
The characteristics of the vacuum used in a low atmospheric pressure stunning system to stun (render unconscious) poultry prior to slaughter are described. A vacuum chamber is pumped by a wet screw compressor. The vacuum pressure is reduced from ambient atmospheric pressure to an absolute vacuum pressure of ∼250 Torr (∼33 kPa) in ∼67 sec with the vacuum gate valve fully open. At ∼250 Torr, the sliding gate valve is partially closed to reduce effective pumping speed, resulting in a slower rate of decreasing pressure...
May 17, 2017: Poultry Science
https://www.readbyqxmd.com/read/28504971/robust-tactile-sensory-responses-in-finger-area-of-primate-motor-cortex-relevant-to-prosthetic-control
#17
Karen E Schroeder, Zachary T Irwin, Autumn J Bullard, David E Thompson, J Nicole Bentley, William C Stacey, Parag G Patil, Cynthia A Chestek
OBJECTIVE: Challenges in improving the performance of dexterous upper-limb brain-machine interfaces (BMIs) have prompted renewed interest in quantifying the amount and type of sensory information naturally encoded in the primary motor cortex (M1). Previous single unit studies in monkeys showed M1 is responsive to tactile stimulation, as well as passive and active movement of the limbs. However, recent work in this area has focused primarily on proprioception. Here we examined instead how tactile somatosensation of the hand and fingers is represented in M1...
May 15, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28504931/robust-real-time-musculoskeletal-modeling-driven-by-electromyograms
#18
Guillaume Durandau, Dario Farina, Massimo Sartori
OBJECTIVE: Current clinical biomechanics involves lengthy data acquisition and time-consuming offline analyses and current biomechanical models cannot be used for real-time control in man-machine interfaces. We developed a method that enables online analysis of neuromusculoskeletal function in vivo in the intact human. METHODS: We used electromyography (EMG)-driven musculoskeletal modeling to simulate all transformations from muscle excitation onset (EMGs) to mechanical moment production around multiple lower-limb degrees of freedom (DOFs)...
May 12, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28500008/wearable-haptic-systems-for-the-fingertip-and-the-hand-taxonomy-review-and-perspectives
#19
Claudio Pacchierotti, Stephen Sinclair, Massimiliano Solazzi, Antonio Frisoli, Vincent Hayward, Domenico Prattichizzo
In the last decade, we have witnessed a drastic change in the form factor of audio and vision technologies, from heavy and grounded machines to lightweight devices that naturally fit our bodies. However, only recently, haptic systems have started to be designed with wearability in mind. The wearability of haptic systems enables novel forms of communication, cooperation, and integration between humans and machines. Wearable haptic interfaces are capable of communicating with the human wearers during their interaction with the environment they share, in a natural and yet private way...
May 9, 2017: IEEE Transactions on Haptics
https://www.readbyqxmd.com/read/28499043/bioethics-and-transhumanism
#20
Allen Porter
Transhumanism is a "technoprogressive" socio-political and intellectual movement that advocates for the use of technology in order to transform the human organism radically, with the ultimate goal of becoming "posthuman." To this end, transhumanists focus on and encourage the use of new and emerging technologies, such as genetic engineering and brain-machine interfaces. In support of their vision for humanity, and as a way of reassuring those "bioconservatives" who may balk at the radical nature of that vision, transhumanists claim common ground with a number of esteemed thinkers and traditions, from the ancient philosophy of Plato and Aristotle to the postmodern philosophy of Nietzsche...
June 1, 2017: Journal of Medicine and Philosophy
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