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2012 16th International Symposium on Wearable Computers

Date 18-22 June 2012

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  • [Front cover]

    Publication Year: 2012, Page(s): C1
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  • [Title page i]

    Publication Year: 2012, Page(s): i
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  • [Title page iii]

    Publication Year: 2012, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2012, Page(s): iv
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  • Table of contents

    Publication Year: 2012, Page(s):v - vii
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  • Message from the General Chair

    Publication Year: 2012, Page(s): viii
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  • Message from the Program Committee Co-Chairs

    Publication Year: 2012, Page(s): ix
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  • Message from the Technical Committee Chair

    Publication Year: 2012, Page(s):x - xi
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  • Organizing Committee

    Publication Year: 2012, Page(s): xii
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  • Program Committee

    Publication Year: 2012, Page(s): xiii
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  • Sponsors

    Publication Year: 2012, Page(s): xiv
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  • Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model

    Publication Year: 2012, Page(s):1 - 8
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB) | HTML iconHTML

    Mining patterns of human behavior from large-scale mobile phone data has potential to understand certain phenomena in society. The study of such human-centric massive datasets requires new mathematical models. In this paper, we propose a probabilistic topic model that we call the distant n-gram topic model (DNTM) to address the problem of learning long duration human location sequences. The DNTM i... View full abstract»

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  • Socio-Technical Network Analysis from Wearable Interactions

    Publication Year: 2012, Page(s):9 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (187 KB) | HTML iconHTML

    Wearable sensing platforms like modern smart phones have proven to be effective means in the complexity and computational social sciences. This paper draws from explicit (phone calls, SMS messaging) and implicit (proximity sensing based on Bluetooth radio signals) interaction patterns collected via smart phones and reality mining techniques to explain the dynamics of personal interactions and rela... View full abstract»

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  • Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach

    Publication Year: 2012, Page(s):17 - 24
    Cited by:  Papers (37)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (684 KB) | HTML iconHTML

    Power consumption on mobile phones is a painful obstacle towards adoption of continuous sensing driven applications, e.g., continuously inferring individual's locomotive activities (such as 'sit', 'stand' or 'walk') using the embedded accelerometer sensor. To reduce the energy overhead of such continuous activity sensing, we first investigate how the choice of accelerometer sampling frequency &... View full abstract»

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  • Recognizing Daily Life Context Using Web-Collected Audio Data

    Publication Year: 2012, Page(s):25 - 28
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB) | HTML iconHTML

    This work presents an approach to model daily life contexts from web-collected audio data. Being available in vast quantities from many different sources, audio data from the web provides heterogeneous training data to construct recognition systems. Crowd-sourced textual descriptions (tags) related to individual sound samples were used in a configurable recognition system to model 23 sound context... View full abstract»

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  • Energy-Efficient Activity Recognition Using Prediction

    Publication Year: 2012, Page(s):29 - 36
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (382 KB) | HTML iconHTML

    Energy storage is quickly becoming the limiting factor in mobile pervasive technology. For intelligent wearable applications to be practical, methods for low power activity recognition must be embedded in mobile devices. We present a novel method for activity recognition which leverages the predictability of human behavior to conserve energy. The novel algorithm accomplishes this by quantifying ac... View full abstract»

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  • SAMMPLE: Detecting Semantic Indoor Activities in Practical Settings Using Locomotive Signatures

    Publication Year: 2012, Page(s):37 - 40
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (373 KB) | HTML iconHTML

    We analyze the ability of mobile phone-generated accelerometer data to detect high-level (i.e., at the semantic level) indoor lifestyle activities, such as cooking at home and working at the workplace, in practical settings. We design a 2-Tier activity extraction framework (called SAMMPLE) for our purpose. Using this, we evaluate discriminatory power of activity structures along the dimension of s... View full abstract»

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  • Huffman Base-4 Text Entry Glove (H4 TEG)

    Publication Year: 2012, Page(s):41 - 47
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (747 KB) | HTML iconHTML

    We designed and evaluated a Huffman base-4 Text Entry Glove (H4-TEG). H4-TEG uses pinches between the thumb and fingers on the user's right hand. Characters and commands use base-4 Huffman codes for efficient input. In a longitudinal study, participants reached 14.0 wpm with error rates <;1%. In an added session without visual feedback, entry speed dropped only by 0.4 wpm. Yet another session w... View full abstract»

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  • Toe Input Using a Mobile Projector and Kinect Sensor

    Publication Year: 2012, Page(s):48 - 51
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (425 KB) | HTML iconHTML

    Due to the prevalence of cell phones many people view information on small handheld LCD screens. However, these mobile devices require the use of one hand, the user needs to keep a close watch on a small display, and they have to be retrieved from a pocket or a bag. To overcome these problems, we focus on wearable projection systems that enable hands-free viewing via large projected screens, elimi... View full abstract»

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  • Airwriting: Hands-Free Mobile Text Input by Spotting and Continuous Recognition of 3d-Space Handwriting with Inertial Sensors

    Publication Year: 2012, Page(s):52 - 59
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4256 KB) | HTML iconHTML

    We present an input method which enables complex hands-free interaction through 3d handwriting recognition. Users can write text in the air as if they were using an imaginary blackboard. Motion sensing is done wirelessly by accelerometers and gyroscopes which are attached to the back of the hand. We propose a two-stage approach for spotting and recognition of handwriting gestures. The spotting sta... View full abstract»

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  • Textile Interfaces: Embroidered Jog-Wheel, Beaded Tilt Sensor, Twisted Pair Ribbon, and Sound Sequins

    Publication Year: 2012, Page(s):60 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (482 KB) | HTML iconHTML

    Electronic textiles (or e-textiles) attempt to integrate electronics and computing into fabric. In our efforts to create new e-textile interfaces and construction techniques for our Electronic Textile Interface Swatch Book (an e-textile toolkit), we have created a multi-use jog wheel using multilayer embroidery, sound sequins from PVDF film and a tilt sensor using a hanging bead, embroidery and ca... View full abstract»

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  • Garment Positioning and Drift in Garment-Integrated Wearable Sensing

    Publication Year: 2012, Page(s):64 - 71
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB) | HTML iconHTML

    Perceptibility on the part of the user is a key influence on the success or failure of a wearable sensor. Most wearable sensors seek to measure or monitor parameters of the body as accurately as possible, yet wearable sensors are notoriously plagued by the error (also referred as noise) that may be introduced by the movement of the sensor over the body surface. In this paper, we implement a novel ... View full abstract»

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  • GazeCloud: A Thumbnail Extraction Method Using Gaze Log Data for Video Life-Log

    Publication Year: 2012, Page(s):72 - 75
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (439 KB) | HTML iconHTML

    We propose a method for information extraction and presentation using recorded eye gaze data, i.e., life-log video data. We call our method Gaze Cloud, which essentially uses gaze information for the generation of thumbnail images. One of the usages of wearable computing, personal life-logs are becoming increasingly possible. However, an aspect that needs to be addressed is information retrieval t... View full abstract»

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  • Urban Vibrations: Sensitivities in the Field with a Broad Demographic

    Publication Year: 2012, Page(s):76 - 79
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (334 KB) | HTML iconHTML

    In this paper we describe a field study conducted with a wearable vibration belt where we test to determine the vibration intensity sensitivity ranges on a large diverse group of participants with evenly distributed ages and gender, ranging from seven to 79 years. We test for alterations in sensitivity in the field by introducing an escalating level of distraction in increasingly busy environments... View full abstract»

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  • Tongue Mounted Interface for Digitally Actuating the Sense of Taste

    Publication Year: 2012, Page(s):80 - 87
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2256 KB) | HTML iconHTML

    Most of the systems for generating taste sensations are based on blending different chemicals appropriately, and there are less proven approaches to stimulate the sense of taste digitally. In this paper, a method to digitally stimulate the sense of taste is introduced and demonstrated based on electrical and thermal stimulation on human tongue. Thus, two digital control systems are presented to co... View full abstract»

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