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2008 12th IEEE International Symposium on Wearable Computers

Sept. 28 2008-Oct. 1 2008

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Displaying Results 1 - 25 of 46
  • [Front and back covers]

    Publication Year: 2008, Page(s):c1 - c4
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  • Proceedings twelfth IEEE international symposium on wearable computers [front matter]

    Publication Year: 2008, Page(s):i - ii
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  • Table of contents

    Publication Year: 2008
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  • Message from the General Chair

    Publication Year: 2008, Page(s): v
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  • Message from the Program Chairs

    Publication Year: 2008, Page(s): vi
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  • The technical committee on wearable information systems

    Publication Year: 2008, Page(s): vii
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  • Organizing Committee

    Publication Year: 2008, Page(s): viii
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  • Program Committee

    Publication Year: 2008, Page(s): ix
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  • Guest reviewers

    Publication Year: 2008, Page(s): x
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  • Sponsors

    Publication Year: 2008, Page(s): xi
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  • Session 1 Location mapping

    Publication Year: 2008, Page(s): 1
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  • HeadSLAM - simultaneous localization and mapping with head-mounted inertial and laser range sensors

    Publication Year: 2008, Page(s):3 - 10
    Cited by:  Papers (13)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (589 KB) | HTML iconHTML

    Self-localization of users and their wearable computers is essential to many applications, but so far, most implementation rely on a-priori information and pre-deployed infrastructures such as maps. We show how techniques from mobile robotics, namely simultaneous localization and mapping can be used to automatically generate both localization information and 2D environment maps using head-mounted ... View full abstract»

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  • Localization and 3D reconstruction of urban scenes using GPS

    Publication Year: 2008, Page(s):11 - 14
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (743 KB) | HTML iconHTML

    Using off-the-shelf Global Positioning System (GPS) units, we reconstruct buildings in 3D by exploiting the reduction in signal to noise ratio (SNR) that occurs when the buildings obstruct the line-of-sight between the moving units and the orbiting satellites. We measure the size and height of skyscrapers as well as automatically constructing a density map representing the location of multiple bui... View full abstract»

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  • Video-rate localization in multiple maps for wearable augmented reality

    Publication Year: 2008, Page(s):15 - 22
    Cited by:  Papers (42)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1960 KB) | HTML iconHTML

    We show how a system for video-rate parallel camera tracking and 3D map-building can be readily extended to allow one or more cameras to work in several maps, separately or simultaneously. The ability to handle several thousand features per map at video-rate, and for the cameras to switch automatically between maps, allows spatially localized AR workcells to be constructed and used with very littl... View full abstract»

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  • Session 2 Mobile phones and human interface

    Publication Year: 2008, Page(s): 23
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  • Determining transportation mode on mobile phones

    Publication Year: 2008, Page(s):25 - 28
    Cited by:  Papers (20)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (85 KB) | HTML iconHTML

    As mobile phones advance in functionality and capability, they are increasingly being used as instruments for personal monitoring. Applications are being developed that take advantage of the sensing capabilities of mobile phones - many have accelerometers, location capabilities, imagers, and microphones - to infer contextual information. We focus on one type of context, the transportation mode of ... View full abstract»

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  • Discovering human routines from cell phone data with topic models

    Publication Year: 2008, Page(s):29 - 32
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (166 KB) | HTML iconHTML

    We present a framework to automatically discover people's routines from information extracted by cell phones. The framework is built from a probabilistic topic model learned on novel bag type representations of activity-related cues (location, proximity and their temporal variations over a day) of peoples' daily routines. Using real-life data from the Reality Mining dataset, covering 68 000+ hours... View full abstract»

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  • A new approach to enable gesture recognition in continuous data streams

    Publication Year: 2008, Page(s):33 - 40
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (642 KB) | HTML iconHTML

    Gesture recognition has great potential for mobile and wearable computing. Most papers in this area focus on classifying different gestures, but do not evaluate the distinctiveness of gestures in continuous recordings of gestures in daily life. This paper presents a new approach for the important and challenging problem of gesture recognition in continuous data streams. We use turning points of ar... View full abstract»

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  • PianoTouch: A wearable haptic piano instruction system for passive learning of piano skills

    Publication Year: 2008, Page(s):41 - 44
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (283 KB) | HTML iconHTML

    We present PianoTouch, a wearable, wireless haptic piano instruction system, composed of (1) five small vibration motors, one for each finger, fitted inside a glove, (2) a Bluetooth module mounted on the glove, and (3) piano music output from a laptop. Users hear the piano music and feel the vibrations indicating which finger is used to play the note. We investigate the system's potential for pass... View full abstract»

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  • Session 3 Activity recognition

    Publication Year: 2008, Page(s): 45
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  • Adapting magnetic resonant coupling based relative positioning technology for wearable activitiy recogniton

    Publication Year: 2008, Page(s):47 - 54
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (688 KB) | HTML iconHTML

    We demonstrate how modulated magnetic field technology that is well established in high precision, stationary motion tracking systems can be adapted to wearable activity recognition. To this end we describe the design and implementation of a cheap (components cost about 20 Euro for the transmitter and 15 Euro for the receiver), low power (17 mA for the transmitter and 40 mA for the receiver), and ... View full abstract»

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  • Using a complex multi-modal on-body sensor system for activity spotting

    Publication Year: 2008, Page(s):55 - 62
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (262 KB) | HTML iconHTML

    This paper describes an approach to real-life task tracking using a multi-modal, on-body sensor system. The specific example that we study is quality inspection in car production. This task is composed of up to 20 activity classes such as checking gaps between parts of the chassis, opening and closing the hood and trunk, moving the driver's seat, and turning the steering wheel. Most of these invol... View full abstract»

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  • Using rhythm awareness in long-term activity recognition

    Publication Year: 2008, Page(s):63 - 66
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (497 KB) | HTML iconHTML

    This paper reports on research where users' activities are logged for extended periods by wrist-worn sensors. These devices operated for up to 27 consecutive days, day and night, while logging features from motion, light, and temperature. This data, labeled via 24-hour self-recall annotation, is explored for occurrences of daily activities. An evaluation shows that using a model of the users' rhyt... View full abstract»

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  • Session 4 Activity support

    Publication Year: 2008, Page(s): 67
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  • Sustained logging and discrimination of sleep postures with low-level, wrist-worn sensors

    Publication Year: 2008, Page(s):69 - 76
    Cited by:  Papers (4)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (956 KB) | HTML iconHTML

    We present a study which evaluates the use of simple low-power sensors for a long-term, coarse-grained detection of sleep postures. In contrast to the information-rich but complex recording methods used in sleep studies, we follow a paradigm closer to that of actigraphy by using a wrist-worn device that continuously logs and processes data from the user. Experiments show that it is feasible to det... View full abstract»

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