Using Smartwatches to Improve Health and Wellness By: Isabelle Wang IT-104-009 Professor Reo 2/27/2017
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Using Pebble
Using Pebble Pebble has four buttons. The left button is called the 'back' button, which is used for returning to the previous screen or entering your watchface app from the main menu. On the right side, the top and bottom ('up' and 'down') buttons generally are used for scrolling through lists. The center button is used to 'select' an item in a list or start an app on Pebble. It can also be used to get to the main menu from a watchface. Though most navigation is done with a quick press of a button, some apps incorporate longer presses to expose more options, as seen with he music volume control below. Music Select the Music controller from main menu to control music playing on your smartphone. Currently, Pebble can control the default music app and Google music on Android, and Pandora, Spotify and any other music app that implements default music controls on iOS. Once inside the app, the select button will play or pause your music. And if you press and hold the select button for 12 seconds, the ability to skip tracks using the up and down buttons will change to volume control. Notifications The Notifications option from the main menu is a quick way to review your notification history. You will be able to scroll through and pull up any recent notices that you want to see again, or perhaps missed the first time around. There are two ways to clear your notification history, if you need to. First, the archive of messages is automatically reset whenever Pebble is; i.e. -
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. -
Danielmunoz A: Dresden, Germany • E: [email protected] Twitter: @Makias • Github: Danmunoz • Linkedin: Linkedin.Com/In/Itdann
danielmunoz A: Dresden, Germany • E: [email protected] Twitter: @Makias • GitHub: danmunoz • LinkedIn: linkedin.com/in/itdann/ Professional goal Create world-class apps that push the limits of technology. Work with a team where efficient problem solving and innovative solutions would be needed. Skills Programming Swift, Objective-C, Java, JavaScript, C++ Technologies Cocoa Touch, Cocoa, CoreData, Git, Firebase, SQL, Node.js Languages Spanish (Native), English (Fluent), German (Basic) Platforms iOS, macOS, watchOS Design Adobe Illustrator, Adobe Photoshop, Sketch Work experience LOVOO GmbH Mobile Engineer (iOS) (July 2018 - Present) Development of the LOVOO iOS App Jalasoft Inc. Senior iOS Developer (August 2017 - May 2018) Development of ECi Solutions iOS Apps. - Built JumpTrack app from scratch - Implemented ScanIt App Brosoft Co-Founder / Lead iOS Developer (October 2014 - June 2018) A software development company mostly focused on iOS apps and wearables. PPSOI Apps (iOS) - Enterprise App - Built a set of 3 apps designed for an award-winning Diabetes Education Program. CVCD Apps (iOS) - Development of the full-stack (iOS + node.js) that powers the medical services at Centro Vivir con Diabetes. GymTimer (Pebble Smartwatch) - Selected as one of Pebble Store’s Best of 2014 (Health and Fitness Category) - GymTimer is a fitness app that lets you keep track of routines of all kind of exercises by configuring number of sets and rest periods. PebbMorse (Pebble Smartwatch) - PebbMorse is an app for learning and using Morse Code. It is aimed to help visually impaired people to use the Pebble Smartwatch, with a technology called “VibeOver” that by taking advantage of the vibrator on the Pebble can translate on screen content into Morse Code. -
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. -
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%. -
Digital Forensic Analysis of Smart Watches
TALLINN UNIVERSITY OF TECHNOLOGY School of Information Technologies Kehinde Omotola Adebayo (174449IVSB) DIGITAL FORENSIC ANALYSIS OF SMART WATCHES Bachelor’s Thesis Supervisor: Hayretdin Bahsi Research Professor Tallinn 2020 TALLINNA TEHNIKAÜLIKOOL Infotehnoloogia teaduskond Kehinde Omotola Adebayo (174449IVSB) NUTIKELLADE DIGITAALKRIMINALISTIKA Bachelor’s Thesis Juhendaja: Hayretdin Bahsi Research Professor Tallinn 2020 Author’s declaration of originality I hereby certify that I am the sole author of this thesis. All the used materials, references to the literature and the work of others have been referred to. This thesis has not been presented for examination anywhere else. Author: Kehinde Omotola Adebayo 30.04.2020 3 Abstract As wearable technology is becoming increasingly popular amongst consumers and projected to continue to increase in popularity they become probable significant source of digital evidence. One category of wearable technology is smart watches and they provide capabilities to receive instant messaging, SMS, email notifications, answering of calls, internet browsing, fitness tracking etc. which can be a great source of digital artefacts. The aim of this thesis is to analyze Samsung Gear S3 Frontier and Fitbit Versa Smartwatches, after which we present findings alongside the limitations encountered. Our result shows that we can recover significant artefacts from the Samsung Gear S3 Frontier, also more data can be recovered from Samsung Gear S3 Frontier than the accompanying mobile phone. We recovered significant data that can serve as digital evidence, we also provided a mapping that would enable investigators and forensic examiners work faster as they are shown where to look for information in the course of an investigation. We also presented the result of investigating Fitbit Versa significant artefacts like Heart rate, sleep, exercise and personal data like age, weight and height of the user of the device, this shows this device contains artefacts that might prove useful for forensic investigators and examiners. -
DC Rainmaker
THE YEAR IN REVIEW: THE PAST, PRESENT & FUTURE OF DEVICES AND APPS IN A WEARABLES WORLD • I do this as a full time job. Finally. • A sorta-competitive triathlete • Oh, I live in Paris (France, not Texas) • The Girl owns a cake shop • The Baby runs the roost • Oh, and the dog • Started in Sept 2007 as a personal blog • All about in-depth technology reviews…but also first looks and previews • Reviews are the primary initial driver of traffic • Over 4.4 Million page views/month, 3.3 Million uniques/month • 60K on Facebook, 40K on Twitter, 30K on YouTube • Revenue based primarily on affiliate links • No advertising from product segment I review • Biggest misconception: Not just endurance fitness geeks • Fitness is primary driver: From starting a 5K to Olympians • Editors of virtually all major sports and technology sites/magazines • Staff, talent, and editors at many mainstream press papers/channels/shows • Financial analyst community: Investors • The people in this room: The sports tech industry • Retailers, and distributors: The biggest and the smallest • Wearables now carve a clear niche vs phones, don’t directly compete • Battery life has both improved and faltered • Computer dependency has vanished • Device recognize importance of partnerships…and media does as well. • New file formats have largely vanished (and that’s good) • GPS device quality has increased, but GPS accuracy is mixed • Follow-through on firmware fixes has gotten better, and definitely more frequent • Though companies vary in methodology and success • Nobody is really doing sharing of devices today (except weight scales) • The price gap has vanished, many budget options today – even $29 trackers • Bluetooth Smart compatibility for HR/speed/cadence greatly improved, power is still a rough spot • Adoption of profiles improving, mostly. -
FREEDOM MICRO Flextech
FREEDOM MICRO FlexTech The new Freedom Micro FlexTech Sensor Cable allows you to integrate the wearables FlexSensor™ into the Freedom Micro Alarming Puck, providing both power and security for most watches. T: 800.426.6844 | www.MTIGS.com © 2019 MTI All Rights Reserved FREEDOM MICRO FlexTech ALLOWS FOR INTEGRATION OF THE WEARABLES FLEXSENSOR, PROVIDING BOTH POWER AND SECURITY FOR MOST WATCHES. KEY FEATURES AND BENEFITS Security for Wearables - FlexTech • Available in both White and Black • Powers and Secures most watches via the Wearables FlexSensor • To be used only with the Freedom Micro Alarming Puck: – Multiple Alarming points: » Cable is cut » FlexSensor is cut » Cable is removed from puck Complete Merchandising Flexibility • Innovative Spin-and-Secure Design Keeps Device in Place • Small, Self-contained System (Security, Power, Alarm) Minimizes Cables and Clutter • Available in White or Black The Most Secure Top-Mount System Available • Industry’s Highest Rip-Out Force via Cut-Resistant TruFeel AirTether™ • Electronic Alarm Constantly Attached to Device for 1:1 Security PRODUCT SPECIFICATIONS FlexTech Head 1.625”w x 1.625”d x .5”h FlexTech Cable Length: 6” Micro Riser Dimensions 1.63”w x 1.63”d x 3.87”h Micro Mounting Plate 2.5”w x 2.5”d x 0.075”h Dimensions: Micro Puck Dimensions: 1.5”w x 1.5”d x 1.46”h Powered Merchandising: Powers up to 5.2v at 2.5A Cable Pull Length: 30” via TruFeel AirTether™ Electronic Security: Alarm stays on the device Alarm: Up to 100 Db Allowable Revolutions: Unlimited (via swivel) TO ORDER: Visual System -
Apple Watch Asus Zenwatch 2 Garmin Vivoactive
Garmin Motorola Asus Martian Microsoft Band Samsung Sony Smart Apple Watch Vivoactive Huwawei LG Urbane Moto 360 Pebble ZenWatch 2 Passport 2 Gear S2 Watch 3 Smartwatch (2nd gen) $349 - $17,000 $129 - $199 $219.99 $349.99 - $249.99 $299.00 $249.99 $299 - $399 $99 - $250 $299 - $350 $249+ Price $799 • Android tablets • Android • Android • iPhone 5 • Android • Android • Android • Android • Android • Android Compatibility smartphones • iOS Phone Android Android • iPhone 6 • iOS Phone • iOS Phone • iOS Phone • iOS Phone • iOS Phone • iOS Phone • iOS Phone • Windows • iPad (Air, Mini, 3rd Gen) • Bluetooth • Bluetooth • Bluetooth • Bluetooth • Wi-Fi • Bluetooth • Bluetooth • Bluetooth • Wi-Fi • Wi-Fi • Wi-Fi • NFC • Wi-Fi • Wireless • Wireless • Wireless • Bluetooth • Bluetooth • Wireless • Wireless technology Connectivity • Bluetooth • Wireless • Bluetooth Synching Syncing Syncing • Wi-Fi • Wi-Fi Syncing Syncing Syncing • Automatic • Automatic • Automatic • Automatic • NFC Synching Syncing Syncing Syncing Technology 2-7 days Battery Life Up to 18 hrs Up to 2 days Up to 3 weeks Up to 2 days 410mAh battery 5-7 days 48 hours Up to 2 days (depending on 3+ days 2-3 days model) • 38mm • 1.45" • 42mm Screen Size 1.13" 1.4" 1.3" 1.01" 31mm 32mm 1.63" 1.6" • 42mm • 1.63" • 46mm Retina Display AMOLED LCD AMOLED P-OLED OLED AMOLED Digital E-paper AMOLED LCD Display 8GB Total 4GB 4MB 4GB 4GB N/A N/A 4GB Limited 4GB 4GB Memory Storage Yes Yes Yes Yes Yes Splash proof No Yes Yes Yes Yes Water Resistance • Accelerometer • • Accelerometer • Gyroscope • Heart rate • Accelerometer • Heart rate • • • • Accelerometer • Gyroscope Accelerometer • Heart rate • Acceleromet • Accelerometer Accelerometer Accelerometer Accelerometer • Gyroscope • Heart Rate • Gyroscope monitor er • Gyroscope • Multi sport • S Health and • Compass • Built-in • Swimming • Barometer • Ambient light tracking Nike+ Running pedometer • Golfing • Heart rate sensor integration to Health Tracker • ZenWatch • Activity • Skin temp track health Wellness App tracking sensor and fitness.