Browsing by Subject "mobile devices"

Now showing 1 - 5 of 5
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    CardioCam: Leveraging Camera on Mobile Devices to Verify Users While Their Heart is Pumping
    (ACM, 2019-05) Liu, Jian; Shi, Cong; Chen, Yingying; Liu, Hongbo; Gruteser, Marco; Computer and Information Science, School of Science
    With the increasing prevalence of mobile and IoT devices (e.g., smartphones, tablets, smart-home appliances), massive private and sensitive information are stored on these devices. To prevent unauthorized access on these devices, existing user verification solutions either rely on the complexity of user-defined secrets (e.g., password) or resort to specialized biometric sensors (e.g., fingerprint reader), but the users may still suffer from various attacks, such as password theft, shoulder surfing, smudge, and forged biometrics attacks. In this paper, we propose, CardioCam, a low-cost, general, hard-to-forge user verification system leveraging the unique cardiac biometrics extracted from the readily available built-in cameras in mobile and IoT devices. We demonstrate that the unique cardiac features can be extracted from the cardiac motion patterns in fingertips, by pressing on the built-in camera. To mitigate the impacts of various ambient lighting conditions and human movements under practical scenarios, CardioCam develops a gradient-based technique to optimize the camera configuration, and dynamically selects the most sensitive pixels in a camera frame to extract reliable cardiac motion patterns. Furthermore, the morphological characteristic analysis is deployed to derive user-specific cardiac features, and a feature transformation scheme grounded on Principle Component Analysis (PCA) is developed to enhance the robustness of cardiac biometrics for effective user verification. With the prototyped system, extensive experiments involving 25 subjects are conducted to demonstrate that CardioCam can achieve effective and reliable user verification with over 99% average true positive rate (TPR) while maintaining the false positive rate (FPR) as low as 4%.
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    Evaluating the Acceptability and Usability of EASEL: A Mobile Application that Supports Guided Reflection for Experiential Learning Activities
    (Informing Science Institute, 2017-01-09) Schnepp, Jerry; Rogers, Christian; Engineering Technology, School of Engineering and Technology
    Aim/Purpose: To examine the early perceptions (acceptability) and usability of EASEL (Education through Application-Supported Experiential Learning), a mobile platform that delivers reflection prompts and content before, during, and after an experiential learning activity. Background: Experiential learning is an active learning approach in which students learn by doing and by reflecting on the experience. This approach to teaching is often used in disciplines such as humanities, business, and medicine. Reflection before, during, and after an experience allows the student to analyze what...
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    Mobile Devices and Top Legal Research Apps
    (2013) Hook, Sara Anne
    Includes trial presentation tools and tricks; apps for lawyers; security risks; comparison of devices; top legal research apps
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    Privacy and Security Risks and Requirements with Healthcare IT: Hitting a Home Run Instead of a Foul Ball
    (2012-11-13) Hook, Sara Anne; Jones, Josette
    Using baseball as a metaphor, this practical, engaging session will explore the security and privacy risks with a number of technologies for storing, handling and communicating health information and highlight the legal obligations and technological requirements for collecting, preserving and producing health information as part of an electronic discovery process.
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    Third Year Medical Students’ Knowledge of Privacy & Security Issues Concerning Mobile Devices
    (http://informahealthcare.com.proxy.medlib.iupui.edu/doi/abs/10.3109/0142159X.2012.670319, 2012-04-10) Whipple, Elizabeth C.; Allgood, Kacy L.; LaRue, Elizabeth M.
    BACKGROUND: The use of mobile devices are ubiquitous in medical-care professional settings, but information on privacy and security concerns of mobile devices for medical students is scarce. AIMS: To gain baseline information about third-year medical students' mobile device use and knowledge of privacy and security issues concerning mobile devices. METHODS: We surveyed 67 third-year medical students at a Midwestern university on their use of mobile devices and knowledge of how to protect information available through mobile devices. Students were also presented with clinical scenarios to rate their level of concern in regards to privacy and security of information. RESULTS: The most used features of mobile devices were: voice-to-voice (100%), text messaging (SMS) (94%), Internet (76.9%), and email (69.3%). For locking of one's personal mobile phone, 54.1% never physically lock their phone, and 58% never electronically lock their personal PDA. Scenarios considering definitely privacy concerns include emailing patient information intact (66.7%), and posting de-identified information on YouTube (45.2%) or Facebook (42.2%). CONCLUSIONS: As the ease of sharing data increases with the use of mobile devices, students need more education and training on possible privacy and security risks posed with mobile devices.