System level design as applied to CMU wearable computers

Smailagic, A.; Siewiorek, D.

doi:10.1109/iwv.1998.667123

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…Since in the early stage of WC, no computing devices were available suitable for mobile sensing and computing experiments, several groups designed and built their machines, such as VuMAN (CMU) [43], MIThril (MIT) [44] or the QBIC (ETH) [45]. That wearable landscape and therewith the focus of WC has changed with the emergence of the smartphone: this device accomplishes many of the visions in wearable computing; it is unobtrusive, always connected, and moreover, it offers the sensory platform necessary for the recognition of context awareness.…”

Section: Wearable Computingmentioning

confidence: 99%

Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber–physical convergence

Conti

Das

Bisdikian³

et al. 2012

Pervasive and Mobile Computing

246

135

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Section: Wearable Computingmentioning

confidence: 99%

Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber–physical convergence

Conti

Das

Bisdikian³

et al. 2012

Pervasive and Mobile Computing

246

135

View full text Add to dashboard Cite

“…[13,14]. Additionally systematic design approaches in wearable computing were also investigated by them [15,16]. Here, wearable systems do not necessarily include sensors and are not evaluated in activity context recognition tasks.…”

Section: Related Work and Paper Contributionmentioning

confidence: 99%

Functionality-power-packaging considerations in context aware wearable systems

Bharatula

Lukowicz

Tröster

2006

Pers Ubiquit Comput

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Wearable computing places tighter constraints on architecture design than traditional mobile computing. The architecture is described in terms of miniaturization, power-awareness, global low-power design and suitability for an application. In this article we present a new methodology based on three different system properties. Functionality, power and electronic Packaging metrics are proposed and evaluated to study different trade offs. We analyze the trade offs in different context recognition scenarios. The proof of concept case study is analyzed by studying (a) interaction with household appliances by a wrist worn device (acceleration, light sensors) (b) studying walking behavior with acceleration sensors, (c) computational task and (d) gesture recognition in a wood-workshop using the combination of accelerometer and microphone sensors. After analyzing the case study, we highlight the size aspect by electronic packaging for a given functionality and present the miniaturization trends for 'autonomous sensor button'.Keywords Wearable computing Á Context recognition Á Gesture Á Electronic packaging Á Functionality Á Miniaturization Context aware wearable systemsWearable computing as defined by [1, 2] envisions personal, mobile computing systems that are always on, useful in all situations and most of all, easy to use. Thus whereas a conventional mobile device would only be used for an occasional schedule check or address lookup, a wearable device would constantly provide the user with useful information such as nearby shops and special offers, transport delays, or health and lifestyle-related reminders (taking medicine, diet etc). Such systems are particularly important in professional applications such as emergency response units, manufacturing and maintenance. Thus a wearable system might constantly provide a fireman with hints and warning about hazards related to his environment, his physiological state and his current actions.A key component of the wearable computing vision is the ability of the system to model and recognize user activity and the situation around him. This so called context awareness [3] allows the system to proactively provide the user with the right information at the right time, reduces the complexity of the user interface, and allows new modes of information recording. One of the most popular approaches to context awareness in a mobile environment is based on simple on-body sensors. Thus an accelerometer, light sensor and a microphone placed on the wrist could be used to track interaction with household appliances [4] or the use of tools [5]. In a similar way an accelerometer and/or gyroscope on the upper leg can differentiate between level walking, going upstairs, going downstairs and running.

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“…The hardware series from Smailagic, Sieworek and coworkers at CMU (e.g. [24]) and more recently by Tröster and colleagues at ETH (e.g. [1]) are ones where the design methodology is particularly clear.…”

Section: Introductionmentioning

confidence: 99%

Video-rate recognition and localization for wearable cameras

Castle¹,

Gawley²,

Klein³

et al. 2007

Procedings of the British Machine Vision Conference 2007

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Using simultaneous localization and mapping to determine the 3D surroundings and pose of a wearable or hand-held camera provides the geometrical foundation for several capabilities of value to an autonomous wearable vision system. The one explored here is the ability to incorporate recognized objects into the map of the surroundings and refer to them. Established methods for feature cluster recognition are used to identify and localize known planar objects, and their geometry is incorporated into the map of the surrounds using a minimalist representation. Continued measurement of these mapped objects improves both the accuracy of estimated maps and the robustness of the tracking system. In the context of wearable (or hand-held) vision, the system's ability to enhance generated maps with known objects increases the map's value to human operators, and also enables meaningful automatic annotation of the user's surroundings.

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System level design as applied to CMU wearable computers

Cited by 8 publications

References 7 publications

Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber–physical convergence

Looking ahead in pervasive computing: Challenges and opportunities in the era of cyber–physical convergence

Functionality-power-packaging considerations in context aware wearable systems

Video-rate recognition and localization for wearable cameras

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