MIThril 2003: applications and architecture

DeVaul, Richard W.; Sung, Michael; Gips, Jonathan; Pentland, Alex

doi:10.1109/iswc.2003.1241386

Cited by 103 publications

(53 citation statements)

References 15 publications

(15 reference statements)

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“…A lot of studies on wearable computing system with complicated cables are reported [12,13]. Medical monitoring system is one of the most important applications of wearable computing systems.…”

Section: Related Work On Wearable Network Systemmentioning

confidence: 99%

Wearable electromyography measurement system using cable-free network system on conductive fabric

Akita

Shinmura

Shimamoto

et al. 2008

Artificial Intelligence in Medicine

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SummaryObjective: To solve the complicated wires and battery maintainance problems in the application of werarable computing for biomedical monitoring, the electromyography (EMG) measurement system using conductive fabric for power supply and electric shield for noise reduction is proposed.Material and Methods: The basic cable-free network system using conductive fabric, named as "TextileNet" is developed. The conductive fabric has the function of electic shield for noise reduction in EMG measurement, and it enables the precise EMG measurement with wearable system.Results: The specifications of the developed prototype TextileNet system using wear with conductive fabric were communication speed of 9600 bit per second and power supply of 3W for each device. The electric shield effect was evaluated for precise EMG measurement, and the shield efficacy of conductive fabric was estimated as high as that of shield room.Conclusions: TextileNet system solves both the problems of complicated wires and battery maintainance in wearable computing systems. Conductive fabric * Phone: +81-76-234-4864, FAX:+81-76-264-6404, E-mail:akita@is.t.kanazawau.ac.jp Preprint submitted to Elsevier 24 November 2007 used in TextileNet system is also effective for precise EMG measurement as electric shield. The combination of TextileNet system and EMG measurement device will implement the cable-free, battery-free wearable EMG measurement system.

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Section: Related Work On Wearable Network Systemmentioning

confidence: 99%

Wearable electromyography measurement system using cable-free network system on conductive fabric

Akita

Shinmura

Shimamoto

et al. 2008

Artificial Intelligence in Medicine

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“…MIThril: A Platform for Context-Aware Wearable Computing (www.media.mit.edu/wearables/mithril/) MIThril is a wearable research platform developed at the MIT Media Lab (DeVaul et al, 2001). Although not a commercial product, MIThril is indicative of the functionality that we can expect in nextgeneration wearable devices.…”

Section: Xybernaut Mobile Assistant ( W W W X Y B E R N a U T C Omentioning

confidence: 99%

Wearable and Mobile Devices

Freitas

Levene

2006

Encyclopedia of Human Computer Interaction

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Information and Communication Technologies, known as ICT, have undergone dramatic changes in the last 25 years. The 1980s was the decade of the Personal Computer (PC), which brought computing into the home and, in an educational setting, into the classroom. The 1990s gave us the World Wide Web (the Web), building on the infrastructure of the Internet, which has revolutionized the availability and delivery of information. In the midst of this information revolution, we are now confronted with a third wave of novel technologies (i.e., mobile and wearable computing), where computing devices already are becoming small enough so that we can carry them around at all times, and, in addition, they have the ability to interact with devices embedded in the environment. The development of wearable technology is perhaps a logical product of the convergence between the miniaturization of microchips (nanotechnology) and an increasing interest in pervasive computing, where mobility is the main objective. The miniaturization of computers is largely due to the decreasing size of semiconductors and switches; molecular manufacturing will allow for “not only molecular-scale switches but also nanoscale motors, pumps, pipes, machinery that could mimic skin” (Page, 2003, p. 2). This shift in the size of computers has obvious implications for the human-computer interaction introducing the next generation of interfaces. Neil Gershenfeld, the director of the Media Lab’s Physics and Media Group, argues, “The world is becoming the interface. Computers as distinguishable devices will disappear as the objects themselves become the means we use to interact with both the physical and the virtual worlds” (Page, 2003, p. 3). Ultimately, this will lead to a move away from desktop user interfaces and toward mobile interfaces and pervasive computing.

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“…Other techniques usually used are hidden Markov modelling (HMM) [12], artificial neural networks [13], and self-organizing maps [14]. However, the training and recognition procedures in DTW are potentially much simpler and faster.…”

Section: Dynamic Time Warpingmentioning

confidence: 99%

Online Context Recognition in Multisensor Systems using Dynamic Time Warping

West

Venkatesh

et al. 2005

2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing

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In this paper we present our system for online context recognition of multimodal sequences acquired from multiple sensors. The system uses Dynamic lime Warping (D7W) to recognize multimodal sequences of different lengths, embedded in continuous data streams. We evaluate the performance of our system on two real world datasets: 1) accelerometer data acquired from performning two hand gestures and 2) NOKIA's benchmark dataset for context recognition. The results from both datasets demonstrate that the system can perform online context recognition efficiently and achieve high recognition accuracy.

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MIThril 2003: applications and architecture

Abstract: Abstract

Cited by 103 publications

References 15 publications

Wearable electromyography measurement system using cable-free network system on conductive fabric

Wearable electromyography measurement system using cable-free network system on conductive fabric

Wearable and Mobile Devices

Online Context Recognition in Multisensor Systems using Dynamic Time Warping

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