Mobile sensing has become a new style of applications and most of the smart devices are equipped with varieties of sensors or functionalities to enhance sensing capabilities. Current sensing systems concentrate on how to enhance sensing capabilities; however, the sensors or functionalities may lead to the leakage of users’ privacy. In this paper, we present WiPass, a way to leverage the wireless hotspot functionality on the smart devices to snoop the unlock passwords/patterns without the support of additional hardware. The attacker can “see” your unlock passwords/patterns even one meter away. WiPass leverages the impacts of finger motions on the wireless signals during the unlocking period to analyze the passwords/patterns. To practically implement WiPass, we are facing the difficult feature extraction and complex unlock passwords matching, making the analysis of the finger motions challenging. To conquer the challenges, we use DCASW to extract feature and hierarchical DTW to do unlock passwords matching. Besides, the combination of amplitude and phase information is used to accurately recognize the passwords/patterns. We implement a prototype of WiPass and evaluate its performance under various environments. The experimental results show that WiPass achieves the detection accuracy of 85.6% and 74.7% for passwords/patterns detection in LOS and in NLOS scenarios, respectively.

Computerized sensing and analysis is capable of quantitatively assessing the seemingly minor effect of monitor display on surgical training performance. The study demonstrates that, while users expressed a decided preference for HD systems, actual quantitative analysis indicates that HD monitors offer no statistically significant advantage and may even worsen performance compared with standard 2D or 3D laparoscopic monitors.

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Partnerships were established with the University of Arizona's Healthcare Partnership to train promotores--Spanish-speaking community health workers--as tobacco cessation counselors. Tobacco Free El Paso certified promotores to help identify tobacco users and offer tobacco cessation counseling services. The project certified 89 participants, of whom 95% were promotores; 88% were Hispanic/Latino, 67% were females, and 62% indicated Spanish as their primary language. Participants who completed Técnicas Básicas, Treatment Specialist, and Déjate de ese Vicio certifications significantly increased self-confidence levels to deliver brief smoking cessation interventions (P < .05). Satisfaction scores (scale = 1-5) were also relatively high for each certification (Técnicas Básicas, mean = 4.8; Treatment Specialist, mean = 4.7; Déjate de ese Vicio, mean = 4.6). The results suggest that promotores understood the concepts and methodologies presented.

To provide appropriate guidance in minimally invasive surgical training (and potentially an additional safety measure in the operating room), we propose a model called a "No-Fly Zone" based on the situational awareness enhancing system. By defining the configuration space of the instrument, a collision free region is defined. If an intrusion occurs into the no-fly region space, the system provides audio, visual, and haptic feedback to reinforce an appropriate maneuver. The proposed method is intended to refine surgical skills and to improve the patient safety. Usability experiment will be performed to test the system.

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