The Complete 2017 Smartwatch Buyer's Guide
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LG Watch Urbane È Dello Spessore Previsto Dagli Standard Di Qualità Più Elevati
ITALIANO USER GUIDE LG-W150 MFL69146201 (1.0) www.lg.com Guida per l'utente ITALIANO • Alcuni contenuti e illustrazioni possono differire dal dispositivo a seconda della regione, del provider di servizi, della versione SW o del sistema operativo e sono soggetti a modifica senza preavviso. • Si raccomanda di utilizzare solo accessori opzionali prodotti da LG. Gli elementi forniti sono progettati esclusivamente per questo dispositivo e potrebbe non essere compatibile con altri dispositivi. • Questo dispositivo non è indicato per persone con problemi di vista in quanto integra uno schermo a sfioramento. • Copyright ©2015 LG Electronics, Inc. Tutti i diritti riservati. LG e il logo LG sono marchi di LG Group e delle società affiliate. Tutti gli altri marchi registrati appartengono ai rispettivi proprietari. • Google™, Google Maps™, Gmail™, YouTube™, Hangouts™ e Play Store™ sono marchi registrati di Google, Inc. Sommario Informazioni di sicurezza .........................4 Visualizzare la carica residua della batteria o la data ................................................31 Presentazione dell'orologio ....................15 Spegnere temporaneamente lo schermo Struttura dell'orologio ............................15 con la modalità Teatro............................32 Ricarica dell'orologio .............................17 Potenziare temporaneamente la luminosità Modalità di ricarica ................................20 dello schermo ........................................32 Se lo schermo si blocca .........................20 Accesso al menu -
I in the UNITED STATES DISTRICT COURT for the EASTERN DISTRICT of TEXAS LOGANTREE LP Plaintiff, V. LG ELECTRONICS, INC., and LG
Case 4:21-cv-00332 Document 1 Filed 04/27/21 Page 1 of 14 PageID #: 1 IN THE UNITED STATES DISTRICT COURT FOR THE EASTERN DISTRICT OF TEXAS LOGANTREE LP Plaintiff, v. CIVIL ACTION NO. LG ELECTRONICS, INC., and LG ELECTRONICS USA, INC., JURY DEMAND Defendants. PLAINTIFF’S ORIGINAL COMPLAINT TABLE OF CONTENTS I. PARTIES ................................................................................................................................ 1 II. JURISDICTION AND VENUE ........................................................................................ 2 III. THE PATENT-IN-SUIT ................................................................................................... 3 IV. THE REEXAMINATION ................................................................................................. 4 V. COUNT ONE: INFRINGEMENT OF THE REEXAMINED ‘576 PATENT ............. 7 VI. PRAYER FOR RELIEF.................................................................................................. 11 VII. DEMAND FOR JURY TRIAL ....................................................................................... 12 i Case 4:21-cv-00332 Document 1 Filed 04/27/21 Page 2 of 14 PageID #: 2 TABLE OF AUTHORITIES Cases TC Heartland LLC v. Kraft Foods Grp. Brands LLC, 137 S. Ct. 1514 (2017) .............................. 3 Statutes 28 U.S.C. § 1331 ............................................................................................................................. 2 28 U.S.C. § 1338 ............................................................................................................................ -
A Survey of Smartwatch Platforms from a Developer's Perspective
Grand Valley State University ScholarWorks@GVSU Technical Library School of Computing and Information Systems 2015 A Survey of Smartwatch Platforms from a Developer’s Perspective Ehsan Valizadeh Grand Valley State University Follow this and additional works at: https://scholarworks.gvsu.edu/cistechlib ScholarWorks Citation Valizadeh, Ehsan, "A Survey of Smartwatch Platforms from a Developer’s Perspective" (2015). Technical Library. 207. https://scholarworks.gvsu.edu/cistechlib/207 This Project is brought to you for free and open access by the School of Computing and Information Systems at ScholarWorks@GVSU. It has been accepted for inclusion in Technical Library by an authorized administrator of ScholarWorks@GVSU. For more information, please contact [email protected]. A Survey of Smartwatch Platforms from a Developer’s Perspective By Ehsan Valizadeh April, 2015 A Survey of Smartwatch Platforms from a Developer’s Perspective By Ehsan Valizadeh A project submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Information Systems At Grand Valley State University April, 2015 ________________________________________________________________ Dr. Jonathan Engelsma April 23, 2015 ABSTRACT ................................................................................................................................................ 5 INTRODUCTION ...................................................................................................................................... 6 WHAT IS A SMARTWATCH -
Arxiv:1809.10387V1 [Cs.CR] 27 Sep 2018 IEEE TRANSACTIONS on SUSTAINABLE COMPUTING, VOL
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, VOL. X, NO. X, MONTH YEAR 0 This work has been accepted in IEEE Transactions on Sustainable Computing. DOI: 10.1109/TSUSC.2018.2808455 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8299447&isnumber=7742329 IEEE Copyright Notice: c 2018 IEEE. Personal use of this material is permitted. Permission from IEEE 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. arXiv:1809.10387v1 [cs.CR] 27 Sep 2018 IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, VOL. X, NO. X, MONTH YEAR 1 Identification of Wearable Devices with Bluetooth Hidayet Aksu, A. Selcuk Uluagac, Senior Member, IEEE, and Elizabeth S. Bentley Abstract With wearable devices such as smartwatches on the rise in the consumer electronics market, securing these wearables is vital. However, the current security mechanisms only focus on validating the user not the device itself. Indeed, wearables can be (1) unauthorized wearable devices with correct credentials accessing valuable systems and networks, (2) passive insiders or outsider wearable devices, or (3) information-leaking wearables devices. Fingerprinting via machine learning can provide necessary cyber threat intelligence to address all these cyber attacks. In this work, we introduce a wearable fingerprinting technique focusing on Bluetooth classic protocol, which is a common protocol used by the wearables and other IoT devices. Specifically, we propose a non-intrusive wearable device identification framework which utilizes 20 different Machine Learning (ML) algorithms in the training phase of the classification process and selects the best performing algorithm for the testing phase. -
Samsung Watch and Mobile App User Guide
Samsung Watch and Mobile App User Guide Smart Monitor Corp 6203 San Ignacio Ave. Suite 112 San Jose, CA 95119 1.888.334.5045 www.smart-monitor.com Updated 1/11/9 Table of Contents Getting Started ........................................................... …………………………..1 Setting up SmartWatch InspyreTM app…………………………………………………...3 Entering Contacts……………………………………………………...…………………………..5 Home / Menu ............................................................. …………………………..6 Features ...................................................................... …………………………..7 Events ......................................................................... …………………………..8 Settings ....................................................................... …………………………..9 Watch Features…………………………………………………………………………………… 10 User Portal…………………………………………………………………………………………….10 Troubleshooting the Inspyre app ................................ ………………………….11 SmartWatch InspyreTM Application Icon Items in blue represent where to press on the screen of the Android device. We recommend that you review the user manual for your Android and/or Samsung devices prior to downloading the SmartWatch InspyreTM application. Smart Monitor has no control of phone coverage during normal usage of the SmartWatch InspyreTM. Bluetooth signals may intermittently be disrupted by surrounding interference. If you need further assistance with your SmartWatch InspyreTM, please contact Smart Monitor at [email protected] or call 1.888.334.5045 during our hours of operation: Monday – Friday 9AM -
Smartwatch Security Research TREND MICRO | 2015 Smartwatch Security Research
Smartwatch Security Research TREND MICRO | 2015 Smartwatch Security Research Overview This report commissioned by Trend Micro in partnership with First Base Technologies reveals the security flaws of six popular smartwatches. The research involved stress testing these devices for physical protection, data connections and information stored to provide definitive results on which ones pose the biggest risk with regards to data loss and data theft. Summary of Findings • Physical device protection is poor, with only the Apple Watch having a lockout facility based on a timeout. The Apple Watch is also the only device which allowed a wipe of the device after a set number of failed login attempts. • All the smartwatches had local copies of data which could be accessed through the watch interface when taken out of range of the paired smartphone. If a watch were stolen, any data already synced to the watch would be accessible. The Apple Watch allowed access to more personal data than the Android or Pebble devices. • All of the smartwatches we tested were using Bluetooth encryption and TLS over WiFi (for WiFi enabled devices), so consideration has obviously been given to the security of data in transit. • Android phones can use ‘trusted’ Bluetooth devices (such as smartwatches) for authentication. This means that the smartphone will not lock if it is connected to a trusted smartwatch. Were the phone and watch stolen together, the thief would have full access to both devices. • Currently smartwatches do not allow the same level of interaction as a smartphone; however it is only a matter of time before they do. -
Mobius Smatwatches.Key
Разработка для Smart Watches: Apple WatchKit, Android Wear и TizenOS Agenda History Tizen for Wearable Apple Watch Android Wear QA History First Smart Watches Samsung SPH-WP10 1999 IBM Linux Watch 2000 Microsoft SPOT 2003 IBM Linux Watches Today Tizen for Wearable • Display: 360x380; 320x320 • Hardware: 512MB, 4GB, 1Ghz dual-core • Sensors • Accelerometer • Gyroscope • Compass (optional) • Heart Rate monitor (optional) • Ambient Light (optional) • UV (optional) • Barometer (optional) • Camera (optional) • Input • Touch • Microphone • Connectivity: BLE • Devices: Samsung Gear 2, Gear S, Gear, Gear Neo • Compatibility: Samsung smartphones Tizen: Samsung Gear S Tizen for Wearable: Development Tizen for Wearable: Development Tizen IDE Tizen Emulator Apple Watch • Display: 390x312; 340x272 • Hardware: 256M, 1 (2)Gb; Apple S 1 • Sensors: • Accelerometer • Gyroscope • Heart Rate monitor • Barometer • Input • digital crown • force touch • touch • microphone • Compatibility: iOS 8.2 • Devices: 24 types Apple Watch Apple Watch Kit Apple Watch kit: Watch Sim Android Wear • Display: Round; Rect • 320x290; 320x320, 280x280 • Hardware: 512MB, 4GB, 1Ghz (TIOMAP, Qualcomm) • Sensors • Accelerometer • Gyroscope (optional) • Compass (optional) • Heart Rate monitor (optional) • Ambient Light (optional) • UV (optional) • Barometer (optional) • GPS (optional) • Input • Touch • Microphone • Connectivity: BLE • Devices: Moto 360, LG G Watch, Gear Live, ZenWatch, Sony Smartwatch 3, LG G Watch R • Compatibility: Android 4.3 Android Wear Android Wear IDE Android -
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Characterizing Smartwatch Usage in the Wild
Characterizing Smartwatch Usage In The Wild Xing Liu1 Tianyu Chen1 Feng Qian1 Zhixiu Guo23 Felix Xiaozhu Lin4 Xiaofeng Wang1 Kai Chen25 1Indiana University Bloomington 2SKLOIS, Institute of Information Engineering, Chinese Academy of Sciences 3Beijing Jiaotong University 4Purdue ECE 5School of Cyber Security, University of Chinese Academy of Sciences ABSTRACT participants, we conduct an in-depth characterization of three key Smartwatch has become one of the most popular wearable aspects of smartwatch usage “in the wild”: usage patterns, energy computers on the market. We conduct an IRB-approved consumption, and network traffic characteristics. This is to our measurement study involving 27 Android smartwatch users. Using knowledge the most comprehensive and in-depth crowd-sourced a 106-day dataset collected from our participants, we perform in- study of smartwatches. Our key measurement results consist of depth characterization of three key aspects of smartwatch usage “in the following. the wild”: usage patterns, energy consumption, and network traffic. • We characterize the smartwatch usage patterns. An Android Based on our findings, we identify key aspects of the smartwatch watch can stay in one of the four states with diverse power ecosystem that can be further improved, propose recommendations, characteristics: fully awake, dozing (with dimmed watch face and point out future research directions. display and restricted system activity), sleeping (screen further turned off), and charging. We find that smartwatch’s wake-up CCS Concepts period accounts for only 2% of the overall usage period among • → the four states. The wake-up sessions are not only short, but Human-centered computing Ubiquitous and mobile also frequent (72 times per day on average). -
A Predictive Fingerstroke-Level Model for Smartwatch Interaction
Multimodal Technologies and Interaction Article A Predictive Fingerstroke-Level Model for Smartwatch Interaction Shiroq Al-Megren ID Information Technology Department, King Saud University, Riyadh 12371, Saudi Arabia; [email protected]; Tel.: +966-11-805-7839 Received: 24 May 2018; Accepted: 25 June 2018; Published: 2 July 2018 Abstract: The keystroke-level model (KLM) is commonly used to predict the time it will take an expert user to accomplish a task without errors when using an interactive system. The KLM was initially intended to predict interactions in conventional set-ups, i.e., mouse and keyboard interactions. However, it has since been adapted to predict interactions with smartphones, in-vehicle information systems, and natural user interfaces. The simplicity of the KLM and its extensions, along with their resource- and time-saving capabilities, has driven their adoption. In recent years, the popularity of smartwatches has grown, introducing new design challenges due to the small touch screens and bimanual interactions involved, which make current extensions to the KLM unsuitable for modelling smartwatches. Therefore, it is necessary to study these interfaces and interactions. This paper reports on three studies performed to modify the original KLM and its extensions for smartwatch interaction. First, an observational study was conducted to characterise smartwatch interactions. Second, the unit times for the observed interactions were derived through another study, in which the times required to perform the relevant physical actions were measured. Finally, a third study was carried out to validate the model for interactions with the Apple Watch and Samsung Gear S3. The results show that the new model can accurately predict the performance of smartwatch users with a percentage error of 12.07%; a value that falls below the acceptable percentage dictated by the original KLM ~21%. -
Miniatured Inertial Motion and Position Tracking and Visualization Systems Using Android Wear Platform
MINIATURED INERTIAL MOTION AND POSITION TRACKING AND VISUALIZATION SYSTEMS USING ANDROID WEAR PLATFORM A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science By DHRUVKUMAR NAVINCHANDRA PATEL B.E., Gujarat Technological University, 2014 2016 Wright State University WRIGHT STATE UNIVERSITY GRADUATE SCHOOL January 6th, 2017 I HEREBY RECOMMEND THAT THE THESIS PREPARED UNDER MY SUPERVISION BY Dhruvkumar Navinchandra Patel ENTITLED Miniatured Inertial Motion and Position Tracking and Visualization Systems Using Android Wear Platform BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science. _____________________________________ Yong Pei, Ph.D. Thesis Director _____________________________________ Mateen M. Rizki, Ph.D. Chair, Department of Computer Science and Engineering Committee on Final Examination _____________________________________ Yong Pei, Ph.D. _____________________________________ Mateen M. Rizki, Ph.D. _____________________________________ Paul Bender, Ph.D. _____________________________________ Robert E.W. Fyffe, Ph.D. Vice President for Research and Dean of the Graduate School ABSTRACT Patel, Dhruvkumar Navinchandra. M.S. Department of Computer Science and Engineering, Wright State University, 2016. Miniatured Inertial Motion and Position Tracking and Visualization Systems Using Android Wear Platform. In this thesis, we have designed and developed a motion tracking and visualization system using the latest motion tracking sensory technologies. It is one -
Smartwatch Specs Comparison Chart
Smartwatch Specs Comparison Chart Apple Watch Pebble Time Pebble Steel Alcatel One Touch Moto 360 LG G Watch R Sony Smartwatch Asus ZenWatch Huawei Watch Samsung Gear S Watch 3 Smartphone iPhone 5 and Newer Android OS 4.1+ Android OS 4.1+ iOS 7+ Android 4.3+ Android 4.3+ Android 4.3+ Android 4.3+ Android 4.3+ Android 4.3+ iPhone 4, 4s, 5, 5s, iPhone 4, 4s, 5, 5s, Android 4.3+ Compatibility and 5c, iOS 6 and and 5c, iOS 6 and iOS7 iOS7 Price in USD $349+ $299 $149 - $180 $149 $249.99 $299 $200 $199 $349 - 399 $299 $149 (w/ contract) May 2015 June 2015 June 2015 Availability Display Type Screen Size 38mm: 1.5” 1.25” 1.25” 1.22” 1.56” 1.3” 1.6” 1.64” 1.4” 2” 42mm: 1.65” 38mm: 340x272 (290 ppi) 144 x 168 pixel 144 x 168 pixel 204 x 204 Pixel 258 320x290 pixel 320x320 pixel 320 x 320 pixel 269 320x320 400x400 Pixel 480 x 360 Pixel 300 Screen Resolution 42mm: 390x312 (302 ppi) ppi 205 ppi 245 ppi ppi 278ppi 286 ppi ppi Sport: Ion-X Glass Gorilla 3 Gorilla Corning Glass Gorilla 3 Gorilla 3 Gorilla 3 Gorilla 3 Sapphire Gorilla 3 Glass Type Watch: Sapphire Edition: Sapphire 205mah Approx 18 hrs 150 mah 130 mah 210 mah 320 mah 410 mah 420 mah 370 mah 300 mah 300 mah Battery Up to 72 hrs on Battery Reserve Mode Wireless Magnetic Charger Magnetic Charger Intergrated USB Wireless Qi Magnetic Charger Micro USB Magnetic Charger Magnetic Charger Charging Cradle Charging inside watch band Hear Rate Sensors Pulse Oximeter 3-Axis Accelerome- 3-Axis Accelerome- Hear Rate Monitor Hear Rate Monitor Heart Rate Monitor Ambient light Heart Rate monitor Heart