Analysis of touch gestures for online child protection

AbstractThe growth of Internet and the pervasiveness of ICT have led to a radical change in social relationships. One of the drawbacks of this change is the exposure of individuals to threats during online activities. In this context, thetechno-regulationparadigm is inspiring new ways to safeguard legally interests by means of tools allowing to hamper breaches of law. In this paper, we focus on the exposure of individuals to specific online threats when interacting with smartphones. We propose a novel techno-regulatory approach exploiting machine learning techniques to provide safeguards against threats online. Specifically, we study a set of touch-based gestures to distinguish between underages or adults who is accessing a smartphone, and so to guarantee protection. To evaluate the proposed approach's effectiveness, we developed an Android app to build a dataset consisting of more than 9000 touch-gestures from 147 participants. We experimented bothsingle-viewandmulti-viewlearning techniques to find the best combination of touch-gestures able of distinguishing between adults and underages. Results show that the multi-view learning combining scrolls, swipes, and pinch-to-zoom gestures, achieves the best ROC AUC (0.92) and accuracy (88%) scores

Android Based Behavioral Biometric Authentication via Multi-Modal Fusion

Because mobile devices are easily lost or stolen, continuous authentication is extremely desirable for them. Behavioral biometrics provides non-intrusive continuous authentication that has much less impact on usability than active authentication. However single-modality behavioral biometrics has proven less accurate than standard active authentication. This thesis presents a behavioral biometric system that uses multi-modal fusion with user data from touch, keyboard, and orientation sensors. Testing of ve users shows that fusion of modalities provides more accurate authentication than each individual modalities by itself. Using the BayesNet classification algorithm, fusion achieves False Acceptance Rate (FAR) and False Rejection Rate (FRR) values of 9.65% and 2% respectively, each of which is 8% lower than the closest individual modality

Distinguishing freehand drawing recognition for biometric authentication on Android-powered mobile devices

The goal of this work is to develop a recognition algorithm for biometric authentication using a freehand drawing. There are similar studies about signature verification or keystroke typing[1] but there are not any work about freehand drawing surprisingly. To achieve this goal we find, analyzed and selected 6 different biometric feature that are sufficient to distinguish two different people drawing the same sketch. First the enrollment and then the recognition algorithms are intentionally not difficult or complex to understand and implement. The whole work has been developed for and tested on Android-powered mobile devices which has assured an easy-to-use interface and usage and a touchscreen technology ready-to-use. In chapter 1 we introduce the complete work done and we give an overview about bio- metrics and the state of the art. In chapter 2 we give some information about the Android platform and Android Development Tools. In chapter 3 we analyze the selected features explaining the recognition algorithm in detail. In chapter 4 we explain our choices, we present and comment the test results. In appendix A we write a user manual to make usage eas

Resolving the Systematics of Acronictinae (Lepidoptera, Noctuidae), the Evolution of Larval Defenses, and Tracking the Gain/Loss of Complex Courtship Structures in Noctuidae

Moths and caterpillars of the noctuid genus Acronicta Oschenheimer, 1816, widely known as dagger moths, have captured the imagination of taxonomists for centuries. Morphologically enigmatic adults and highly variable larvae prompted A. R. Grote to proclaim, There would seem to be no genus which offers a more interesting field to the biologist for exploration, (1895). Without known synapomorphies for Acronicta, or the subfamily Acronictinae, their circumscriptions have changed over time. This dissertation delves into the taxonomic history of these taxa, setting the stage for a worldwide phylogenetic analysis of Acronictinae. The diversity of larval forms is considered in a tri-trophic framework, quantifying bottom up (host plant) and top down (predator) effects through measures of diet breadth, morphology, and behavior, all in a phylogenetic context. Adult courtship structures, present in some acronictine species, are scored across the family Noctuidae, to aid in the study of the evolution of complex morphological traits

Occupation-Based Leisure Interventions for Individuals with Spinal Cord Injury

The purpose of this scholarly project was to provide occupational therapists with a practical guide for implementing occupation-based leisure interventions for individuals with spinal cord injury (SCI). In recent years, the occupational therapy (OT) profession has seen a shift from a biomechanically driven paradigm back to the occupation-centered practice from which OT is rooted. Though the definition and mission of OT involves the use of occupation-centered interventions, this vision is not always evident within current treatment plans for people with a SCI diagnosis. Research has indicated that leisure participation is essential for this population due to the physical benefits and more importantly for the emotional and social benefits. This manual was created to guide OTs to address leisure engagement with individuals with SCI, ultimately resulting in higher quality of life. An extensive literature review was completed to support the need for this product and identify areas of focus. Topics of research included: 1) etiology and incidence of SCI, 2) functional ability at each SCI level, 3) role of OT, 4) problems with current OT intervention, 5) importance of occupation-based leisure interventions, and 6) utilization of the Ecological Model of Human Performance to facilitate leisure engagement with individuals with SCI. In order to address the needs identified through the literature review, a manual was created to assist OTs in enabling client-centered, occupation-based interventions for individuals with SCI. To provide highest level of care for today’s clients, OTs need to be equipped with the correct resources for creating individualized, meaningful intervention plans with client-driven goals. This manual will assist OTs in extending the range of leisure tasks available to individuals with SCI, resulting in successful engagement and increased quality of life

Human Health Engineering Volume II

In this Special Issue on “Human Health Engineering Volume II”, we invited submissions exploring recent contributions to the field of human health engineering, i.e., technology for monitoring the physical or mental health status of individuals in a variety of applications. Contributions could focus on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main parts of the monitoring and control engineering scheme applied to human health applications, namely papers focusing on measuring/sensing physiological variables, papers highlighting health-monitoring applications, and examples of control and process management applications for human health. In comparison to biomedical engineering, we envision that the field of human health engineering will also cover applications for healthy humans (e.g., sports, sleep, and stress), and thus not only contribute to the development of technology for curing patients or supporting chronically ill people, but also to more general disease prevention and optimization of human well-being