Zensei: Embedded, Multi-Electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition
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Proximity Capacitive Sensor Technology for Touch Sensing Applications
Proximity Sensing White Paper Proximity Capacitive Sensor Technology for Touch Sensing Applications By Bryce Osoinach, Systems and Applications Engineer Contents Introduction .........................................................................................................................................................3 Proximity Capacitive Sensor Overview ...............................................................................................................4 Capacitance Sensors in Touch Sensing Applications ........................................................................................5 Additional Applications for Proximity Capacitive Sensors ..................................................................................8 Multiple Electrodes and Shield Drive Technology ...............................................................................................9 Conclusion ........................................................................................................................................................11 Proximity Capacitive Sensor Technology 2 Freescale Semiconductor, Inc. Introduction In 1831 Michael Faraday discovered electro-magnetic induction. Essentially, he found that moving a conductor through a magnetic field creates voltage that is directly proportional to the speed of the movement—the faster the conductor moves, the higher the voltage. Today, inductive proximity sensors use Faraday’s Law of Electromagnetic Induction to detect the nearness of conductive materials without actually -
Capacitive Sensing for Robot Safety Applications
Capacitive Sensing for Robot Safety Applications (CONFIDENTIAL, For Marshall Plan Foundation only) Thomas Schlegl Scholarship at Stanford University January to April 2013 c 2013 IEEE and Thomas Schlegl. Personal use of this material is permitted. Permission from IEEE and the author Thomas Schlegl must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Parts of this work have already been published in [Sch+10;SZ 11; SBZ11; Sch+11; SNZ12; Sch+12; SMZ12; Sch+13;SZ 13; Sch+ed;SZ 14; SMZ13]. These sections are marked with a footnote or references. This document is set in Palatino, compiled with pdfLATEX2e and Biber. The LATEX template from Karl Voit is based on KOMA script and can be found online: https://github.com/novoid/LaTeX-KOMA-template Abstract “Capacitive sensing is a mature measurement principle with wide application ranging from chemical sensing, over acceleration, pressure, force and precision position measurement to human machine interfaces found in billions of modern consumer electronic products. In this paper we present several approaches how capacitive sensing can be used for safety applications - an emerging field of usage of capacitive sensors. Capacitive sensing offers unique features that can help to overcome problems of other safety systems such as vision based principles. However, due to the uncertain environment and parasitic effects no general capacitance measurement system exists, which can be readily used for safety applications. -
NFA-Resume Copy.Pages
NICHOLAS ARNER 330-418-1965 // [email protected] // nickarner.com Skills Development languages: Swift, Objective-C, Python, C/C++ (literate) Creative coding and prototyping: Max/MSP, Pure Data, OpenFrameworks, Processing, Arduino, RaspberryPi, Unity Specialities & Interests native macOS and iOS development, human-computer interaction research, gestural interface design, product design and development, circuit prototyping, interactive machine learning, augmented reality, multimedia programming Experience & Projects HUMAN-MACHINE INTERFACE ENGINEER, ASTEROID TECHNOLOGIES; SF BAY AREA — NOVEMBER 2017 - MAY 2019 While at Asteroid, I worked to develop a macOS app for building ARKit interactions that are ready to run on iOS devices. I also researched and prototyped AR-focused features and experiments around a variety of modalities, including audio and voice, haptics, gestures, and controllers. SELECTED ALPHA DEVELOPER, GOOGLE PROJECT SOLI; REMOTE/MOUNTAIN VIEW — OCTOBER 2015 - MAY 2017 I was one of 80 developers worldwide to be accepted into Google ATAP’s Project Soli Alpha Developer Project, and was one of 14 developers to be invited to Google HQ to workshop Soli use cases. My work focused on creating instruments using new musical instruments. Work published in NIME 2017 Proceedings. ASSOCIATE CONSULTANT, WORKSTATE CONSULTING; COLUMBUS, OHIO — FEBRUARY 2016 - AUGUST 2017 I was the lead or co-lead developer on mobile app development projects for CBS Sports and Chicago’s Metro Planning Agency. CORE CONTRIBUTOR, AUDIOKIT; REMOTE — AUGUST 2014 - OCTOBER 2016 I was a core contributor of AudioKit, an open-source audio analysis, synthesis, and processing toolkit for iOS and OS X apps. My contributions include operation defaults, presets, tests, and can be viewed on my GitHub. -
PCF8883 Capacitive Touch/Proximity Switch with Auto-Calibration, Large Voltage Operating Range, and Very Low Power Consumption Rev
PCF8883 Capacitive touch/proximity switch with auto-calibration, large voltage operating range, and very low power consumption Rev. 4.1 — 14 September 2016 Product data sheet 1. General description The integrated circuit PCF8883 is a capacitive touch and proximity switch that uses a patented (EDISEN) digital method to detect a change in capacitance on a remote sensing plate. Changes in the static capacitance (as opposed to dynamic capacitance changes) are automatically compensated using continuous auto-calibration. Remote sensing plates (e.g. conductive foil) can be connected directly to the IC1 or remotely using a coaxial cable. 2. Features and benefits Dynamic proximity switch Digital processing method Adjustable sensitivity, can be made very high Adjustable response time Wide input capacitance range (10 pF to 60 pF) Automatic calibration A large distance (several meters) between the sensing plate and the IC is possible Open-drain output (P-type MOSFET, external load between pin and ground) Designed for battery powered applications (IDD = 3 A, typical) Output configurable as push-button, toggle, or pulse Wide voltage operating range (VDD = 3 V to 9 V) Large temperature operating range (Tamb = 40 C to +85 C) Internal voltage regulator Available in SOIC8 and wafer level chip-size package 3. Applications Proximity detection Proximity sensing in Mobile phones Portable entertainment units Switch for medical applications Switch for use in explosive environments Vandal proof switches Transportation: Switches in or under upholstery, leather, handles, mats, and glass 1. The definition of the abbreviations and acronyms used in this data sheet can be found in Section 21. NXP Semiconductors PCF8883 Capacitive touch/proximity switch with auto-calibration Buildings: switch in or under carpets, glass, or tiles Sanitary applications: use of standard metal sanitary parts (e.g. -
Accountable Privacy for Decentralized Anonymous Payments
Accountable Privacy for Decentralized Anonymous Payments Christina Garman, Matthew Green, and Ian Miers Johns Hopkins University fcgarman, mgreen, [email protected] Abstract. Decentralized ledger-based currencies such as Bitcoin provide a means to construct payment systems without requiring a trusted bank. Removing this trust assumption comes at the significant cost of transac- tion privacy. A number of academic works have sought to improve the privacy offered by ledger-based currencies using anonymous electronic cash (e-cash) techniques. Unfortunately, this strong degree of privacy creates new regulatory concerns, since the new private transactions can- not be subject to the same controls used to prevent individuals from conducting illegal transactions such as money laundering. We propose an initial approach to addressing this issue by adding privacy preserving policy-enforcement mechanisms that guarantee regulatory compliance, allow selective user tracing, and admit tracing of tainted coins (e.g., ransom payments). To accomplish this new functionality we also provide improved definitions for Zerocash and, of independent interest, an efficient construction for simulation sound zk-SNARKs. 1 Introduction The success of decentralized currencies like Bitcoin has led to renewed interest in anonymous electronic cash both in academia [2, 9, 20] and in practice (including Coinjoin, CryptoNote, and DarkWallet). It has also highlighted new problems related to trust, privacy and regulatory compliance. In modern electronic payment systems, users must trust that their bank is not tampering with the system (e.g., by \forging" extra currency), that no party is abusing the privacy of users' transactions, and simultaneously, that other users are not using the system to engage in money laundering or extortion. -
Proximity Capacitive Sensor Technology for Touch Sensing Applications
Proximity Sensing White Paper Proximity Capacitive Sensor Technology for Touch Sensing Applications By Bryce Osoinach, Systems and Applications Engineer Contents Introduction .........................................................................................................................................................3 Proximity Capacitive Sensor Overview ...............................................................................................................4 Capacitance Sensors in Touch Sensing Applications ........................................................................................5 Additional Applications for Proximity Capacitive Sensors ..................................................................................8 Multiple Electrodes and Shield Drive Technology ...............................................................................................9 Conclusion ........................................................................................................................................................11 Proximity Capacitive Sensor Technology 2 Freescale Semiconductor, Inc. Introduction In 1831 Michael Faraday discovered electro-magnetic induction. Essentially, he found that moving a conductor through a magnetic field creates voltage that is directly proportional to the speed of the movement—the faster the conductor moves, the higher the voltage. Today, inductive proximity sensors use Faraday’s Law of Electromagnetic Induction to detect the nearness of conductive materials without actually -
Wide Dynamic Range Multi-Channel Electrochemical Instrument for In-Field Measurements
Wide Dynamic Range Multi-Channel Electrochemical Instrument for In-Field Measurements Sina Parsnejad, Yaoxing Hu, Hao Wan, Ehsan Ashoori, and Andrew J. Mason Electrical and Computer Engineering, Michigan State Univ., East Lansing, MI, USA {parsneja, huyaoxin, wh1816, ashoorie, mason}@msu.edu Abstract— This paper presents a multi-channel, multi- technique electrochemical instrument with the size, power and performance for portable applications such as point-of-care diagnosis, wearable sensing, and toxic chemical detection. Composed of a custom analog interface and a commercial low- power microcontroller, the portable instrument is capable of dynamically adapting to a wide input current range exhibited by many electrode/sensor types and observed in the transient response of many electrochemical techniques. The instrument can generate several standard electrochemical stimulus waveforms or an arbitrary waveform, independently and in parallel on multiple channels, while streaming measurement results to a USB host. The Fig. 1. Versatile electrochemical instrument for interfacing various portable instrument was tested across multiple conditions against electrodes and streaming measurements to a USB host. a commercial benchtop electrochemical instrument in a potassium ferricyanide solution. The maximum normalized root mean electrode or are tied to a specific host platform. For example, [3] square difference between test results and the commercial would only operate with an Ara smartphone while [2] is instrument is less than 2%, cementing system robustness. optimized to a specific kind of electrode. Furthermore, in real- world applications sensing is not usually possible with just one Keywords—electrochemical sensor; point-of-care sensing. channel/sensor due to the presence of too many variables in the I. -
Seamless Authentication for Ubiquitous Devices
Dartmouth College Dartmouth Digital Commons Dartmouth College Ph.D Dissertations Theses and Dissertations 5-1-2016 Seamless Authentication for Ubiquitous Devices Shrirang Mare Dartmouth College Follow this and additional works at: https://digitalcommons.dartmouth.edu/dissertations Part of the Computer Sciences Commons Recommended Citation Mare, Shrirang, "Seamless Authentication for Ubiquitous Devices" (2016). Dartmouth College Ph.D Dissertations. 48. https://digitalcommons.dartmouth.edu/dissertations/48 This Thesis (Ph.D.) is brought to you for free and open access by the Theses and Dissertations at Dartmouth Digital Commons. It has been accepted for inclusion in Dartmouth College Ph.D Dissertations by an authorized administrator of Dartmouth Digital Commons. For more information, please contact [email protected]. Seamless Authentication For Ubiquitous Devices Shrirang Mare Technical Report TR2016-793 Dartmouth Computer Science Copyright c 2016, Shrirang Mare All rights reserved Abstract User authentication is an integral part of our lives; we authenticate ourselves to personal computers and a variety of other things several times a day. Authentication is burdensome. When we wish to access to a computer or a resource, it is an additional task that we need to perform – an interruption in our workflow. In this dissertation, we study people’s authentication behavior and attempt to make authentication to desktops and smartphones less burdensome for users. First, we present the findings of a user study we conducted to understand people’s authentication behavior: things they authenticate to, how and when they authenticate, authentication errors they encounter and why, and their opinions about authentication. In our study, participants performed about 39 authentications per day on average; the majority of these authentications were to personal computers (desktop, laptop, smartphone, tablet) and with passwords, but the number of authentications to other things (e.g., car, door) was not insignificant. -
ASL Student Project Description
Deep Learning for gesture recognition based on novel hardware (Google project Soli) Project description We are currently witnessing several drastic shifts in the computing landscape. The traditional PC and hence the traditional mouse and keyboard-based UI are no longer the primary computing paradigm but are increasingly complemented by other paradigms such as direct-touch and gestural interaction. As our environments become smarter and the line between virtual and real worlds becomes blurred, it also becomes increasingly clear that traditional forms of user input are no longer ade- quate for mobile scenarios. With technologies such as wearable computing, Augmented and Virtual Reality (AR/VR) transi- tioning from the research labs into the mainstream market the need for a general purpose, contact-and wireless, and high precision, high bandwidth man-machine interface becomes increasingly urgent. This project is aiming at building an intelligent algorithm that could recognize low-effort, low-energy and high-bandwidth interactions involving primarily small muscle groups. The interaction paradigm is based on UWB radar sensor (Google project Soli: https://www.youtube.com/watch?v=0QNiZfSsPc0) which is sensitive to tiny motions, immune to optical occlusion, works both indoor/outdoor, through paper/clothing/thin plastics at flexible range. Recently convolutional deep neural networks (DNNs) have made a significant impact in computer vision. DNNs have outper- formed state-of-the-art machine learning algorithms in very large-scale image recognition and hand-written digits recogni- tion. In a recent competition on multimodal recognition of 20 dynamic gestures from the Italian sign language, an algorithm based on convolutional neural networks ranked first among 17 competing methods. -
Distinguishing Users with Capacitive Touch Communication
Distinguishing Users with Capacitive Touch Communication Tam Vu, Akash Baid, Simon Gao, Marco Gruteser, Richard Howard, Janne Lindqvist, Predrag Spasojevic, Jeffrey Walling WINLAB, Rutgers University {tamvu, baid, gruteser, reh, janne, spasojev} @winlab.rutgers.edu {simongao, jeffrey.s.walling}@rutgers.edu ABSTRACT 1. INTRODUCTION As we are surrounded by an ever-larger variety of post-PC de- Mobile devices now provide us ubiquitous access to a vast array vices, the traditional methods for identifying and authenticating of media content and digital services. They can access our emails users have become cumbersome and time-consuming. In this pa- and personal photos, open our cars [41] or our garage doors [13], per, we present a capacitive communication method through which pay bills and transfer funds between our bank accounts, order mer- a device can recognize who is interacting with it. This method ex- chandise, as well as control our homes [10]. Arguably, they now ploits the capacitive touchscreens, which are now used in laptops, provide the de-facto single-sign on access to all our content and phones, and tablets, as a signal receiver. The signal that identifies services, which has proven so elusive on the web. the user can be generated by a small transmitter embedded into a As we increasingly rely on a variety of such devices, we tend to ring, watch, or other artifact carried on the human body. We ex- quickly switch between them and temporarily share them with oth- plore two example system designs with a low-power continuous ers [26]. We may let our children play games on our smartphones transmitter that communicates through the skin and a signet ring or share a tablet with colleagues or family members. -
Light Sensor Development for Ara Platform
Escola Tecnica` Superior d'Enginyeria de Telecomunicacio´ de Barcelona Master Thesis Light sensor development for Ara platform Author: Supervisor: Alexis DUQUE Pr. Josep Paradells Aspas Wireless Network Group Escola T`ecnicaSuperior d'Enginyeria de Telecomunicaci´ode Barcelona June 2015 Abstract INSA de Lyon - T´el´ecommunications, Services et Usages Escola T`ecnicaSuperior d'Enginyeria de Telecomunicaci´ode Barcelona Master's degree in Telecommunications Engineering Light sensor development for Ara platform by Alexis DUQUE During the last years, Visible Light Communication (VLC), a novel technology that enables standard Light-Emitting-Diodes (LEDs) to transmit data, is gaining significant attention. In the near future, this technology could enable devices containing LEDs { such as car lights, city lights, screens and home appliances { to carry information or data to the end-users, using their smartphone. However, VLC is currently limited by the end-point receiver, such as a the mobile camera, or a peripheral connected through the jack input and to unleash the full potential of VLC, more advanced receiver are required. On other, few year ago, Google ATAP - the Google innovation department - announced the Ara initiative. This consist on a modular phone where parts of the phone, like cameras, sensors or networks can be changed. So when a new feature appears or required by the user it is not needed to change the mobile phone, just to buy the modules with the functionality. This Master Thesis presents the design and development of a simple module that will support communication by light (VLC) using the Ara Module Developer Kit provided by Google. It consists on building a front-end circuit, connecting a photodiode that receives the level of light and use it as data carrier, in order to receive and display data inside a custom Android application on the Ara smartphone. -
Recap of 2015 Google I/O Conference
Google I/O 2015 Zoya Bylinskii https://events.google.com/io2015/videos with research outlooks Friday, June 12, 15 1 - a yearly 5,000+ conference for developers and tech enthusiasts - watching parties available globally - keynote and many other sessions posted online Key trends (I extracted) from the keynote • the next billion users • the internet of things • context-aware apps Friday, June 12, 15 2 Thinking about the next billion users • cheaper phones (AndroidOne) • optimized apps, search, and loading • offline support • new use cases computer science more in demand as billions of new people come online hot research directions: optimizing efficiency of storage, transmission, and display of data Friday, June 12, 15 3 - already over a billion users for Chrome, Android, and YouTube, almost a billion users for Gmail - 2.8 billion people online (out of 7 billion) - now tackling developing markets, spotty connectivity, small budgets - just six countries, including China, Mexico, and Brazil, will be responsible for 1.2 billion smartphone sales by 2016, but many of them lack pervasive Internet access - $100 AndroidOne phones - project Loon providing mobile broadband (balloons stay up for 400 days) 4000+ apps for wearables already available want impact? start thinking about converting your research into mobile and wearable apps Friday, June 12, 15 4 Internet of Things Friday, June 12, 15 5 - connected devices, seamless manipulation - control, adjust, monitor all your devices using similar (mobile) interfaces Internet of Things consider all the sensor and device use data that will soon be available Friday, June 12, 15 6 - streamlining for the developer - just released: specially-designed OS (Brillo) and communication platform (Weave) looking into the future of smart devices..