274 research outputs found

    On-line Overlaid-Handwriting Recognition Based on Substroke HMMs.

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    This study discusses the subject of training data selection for neural networks using back propagation. We have made only one assumption that there are no overlapping of training data belonging to different classes, in other words the training data is linearly/semi-linearly separable . Training data is analyzed and the data that affect the learning process are selected based on the idea of Critical points. The proposed method is applied to a classification problem where the task is to recognize the characters A,C and B,D. The experimental results show that in case of batch mode the proposed method takes almost 1/7 of real and 1/10 of user training time required for conventional method. On the other hand in case of online mode the proposed method takes 1/3 of training epochs, 1/9 of real and 1/20 of user and 1/3 system time required for the conventional method. The classification rate of training and testing data are the same as it is with the conventional method

    Ink-based Note Taking On Mobile Devices

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    Although touchscreen mobile phones are widely used for recording informal text notes (e.g., grocery lists, reminders and directions), the lack of efficient mechanisms for combining informal graphical content with text is a persistent challenge. In the first part of the thesis, we present InkAnchor, a digital ink editor that allows users to easily create ink-based notes by finger sketching on a mobile phone touchscreen. InkAnchor incorporates flexible anchoring, focus-plus-context input, content chunking, and lightweight editing mechanisms to support the capture of informal notes and annotations. We describe the design and evaluation of InkAnchor through a series of user studies, which revealed that the integrated support enabled by InkAnchor is a significant improvement over current mobile note taking applications on a range of mobile note-taking tasks. The thesis also introduces FingerTip, a shift-targeting solution to facilitate detailed drawings. Occlusion caused by users' finger on the screen and users' uncertainty of the pixel they interact with are resolved in FingerTip via shifting the actual point where inking occurs beyond the end of the user's finger. However, despite a positive first impression on the part of prospective end users, fingertip turned out only passable on the drawing experience for non-text content. Combining the results of InkAnchor and FigerTip, this thesis does demonstrate that a significant subset of mobile note taking tasks can be supported using focus+context input, and that tuning for hand drawn text input has significant value in the mobile smartphone note taking and sketch input domain

    Emerging technologies for learning report (volume 3)

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    Touch-screen Behavioural Biometrics on Mobile Devices

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    Robust user verification on mobile devices is one of the top priorities globally from a financial security and privacy viewpoint and has led to biometric verification complementing or replacing PIN and password methods. Research has shown that behavioural biometric methods, with their promise of improved security due to inimitable nature and the lure of unintrusive, implicit, continuous verification, could define the future of privacy and cyber security in an increasingly mobile world. Considering the real-life nature of problems relating to mobility, this study aims to determine the impact of user interaction factors that affect verification performance and usability for behavioural biometric modalities on mobile devices. Building on existing work on biometric performance assessments, it asks: To what extent does the biometric performance remain stable when faced with movements or change of environment, over time and other device related factors influencing usage of mobile devices in real-life applications? Further it seeks to provide answers to: What could further improve the performance for behavioural biometric modalities? Based on a review of the literature, a series of experiments were executed to collect a dataset consisting of touch dynamics based behavioural data mirroring various real-life usage scenarios of a mobile device. Responses were analysed using various uni-modal and multi-modal frameworks. Analysis demonstrated that existing verification methods using touch modalities of swipes, signatures and keystroke dynamics adapt poorly when faced with a variety of usage scenarios and have challenges related to time persistence. The results indicate that a multi-modal solution does have a positive impact towards improving the verification performance. On this basis, it is recommended to explore alternatives in the form of dynamic, variable thresholds and smarter template selection strategy which hold promise. We believe that the evaluation results presented in this thesis will streamline development of future solutions for improving the security of behavioural-based modalities on mobile biometrics

    From Alan01 to AlanOnline - A study of the different characteristics of physical media installations and non-material art

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    This thesis is a study of the characteristics of the presentation media of artwork that can exist in physical and non-material form. Physical in this context refers to physical installations, and non-material is used to define artworks where the designer has little or no control over the presentation media, such as online artwork. I have chosen a set of characteristics, which I have found central to the topic, and my aim is to discover how such characteristics behave in practice. These key concepts are: technical aspects of the presentation media, human computer interaction, interface design, space, spatial narrative, collaborative experience, access, exhibition value, immersion, embodiment, real-world objects and metaphors. The set of characteristics is by no-means all-encompassing, but a selection that I have discovered through conversation with colleagues and professionals and through my personal research. It is also aimed to meet the requirements for the scopes of an MA thesis paper. The characteristics are discussed in reference to practical examples of artistic productions, and through my own work as a member of the production team that created the Alan01 installation and its non-material counterpart AlanOnline, which are used as a case study for this thesis

    Wearable Sensors Applied in Movement Analysis

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    Recent advances in electronics have led to sensors whose sizes and weights are such that they can be placed on living systems without impairing their natural motion and habits. They may be worn on the body as accessories or as part of the clothing and enable personalized mobile information processing. Wearable sensors open the way for a nonintrusive and continuous monitoring of body orientation, movements, and various physiological parameters during motor activities in real-life settings. Thus, they may become crucial tools not only for researchers, but also for clinicians, as they have the potential to improve diagnosis, better monitor disease development and thereby individualize treatment. Wearable sensors should obviously go unnoticed for the people wearing them and be intuitive in their installation. They should come with wireless connectivity and low-power consumption. Moreover, the electronics system should be self-calibrating and deliver correct information that is easy to interpret. Cross-platform interfaces that provide secure data storage and easy data analysis and visualization are needed.This book contains a selection of research papers presenting new results addressing the above challenges

    Technology utilization program report, 1974

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    The adaptation of various technological innovations from the NASA space program to industrial and domestic applications is summarized

    Wearables in medicine

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    Wearables as medical technologies are becoming an integral part of personal analytics, measuring physical status, recording physiological parameters, or informing schedule for medication. These continuously evolving technology platforms do not only promise to help people pursue a healthier life style, but also provide continuous medical data for actively tracking metabolic status, diagnosis, and treatment. Advances in the miniaturization of flexible electronics, electrochemical biosensors, microfluidics, and artificial intelligence algorithms have led to wearable devices that can generate real-time medical data within the Internet of things. These flexible devices can be configured to make conformal contact with epidermal, ocular, intracochlear, and dental interfaces to collect biochemical or electrophysiological signals. This article discusses consumer trends in wearable electronics, commercial and emerging devices, and fabrication methods. It also reviews real-time monitoring of vital signs using biosensors, stimuli-responsive materials for drug delivery, and closed-loop theranostic systems. It covers future challenges in augmented, virtual, and mixed reality, communication modes, energy management, displays, conformity, and data safety. The development of patient-oriented wearable technologies and their incorporation in randomized clinical trials will facilitate the design of safe and effective approaches

    Robotics 2010

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    Without a doubt, robotics has made an incredible progress over the last decades. The vision of developing, designing and creating technical systems that help humans to achieve hard and complex tasks, has intelligently led to an incredible variety of solutions. There are barely technical fields that could exhibit more interdisciplinary interconnections like robotics. This fact is generated by highly complex challenges imposed by robotic systems, especially the requirement on intelligent and autonomous operation. This book tries to give an insight into the evolutionary process that takes place in robotics. It provides articles covering a wide range of this exciting area. The progress of technical challenges and concepts may illuminate the relationship between developments that seem to be completely different at first sight. The robotics remains an exciting scientific and engineering field. The community looks optimistically ahead and also looks forward for the future challenges and new development
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