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講演会 |
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日 時 |
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平成18年8月24日（木）11:00 〜 11:45
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会 場 |
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名古屋大学 IB南棟 ４６２輪講室
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講演題目 |
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Ambient Intelligence for Better Building
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講 師 |
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Christopher R. Wren
Mitsubishi Electric Research Laboratories
Dr. Christopher R. Wren has been a Research Scientist at the fundamental
research arm of the Mitsubishi Electric Research Laboratories (MERL) in
Cambridge, MA, USA since 2001. His work in machine perception is targeted
at improving human-system interactions. Dr. Wren has published a number
of journal and conference papers in this area, but he also has a penchant
for live technology demonstrations and has a long history of refereed
expositions. At MERL, Dr. Wren's work has covered a variety of topics
including human-computer interface, ubiquitous computing, and sensor
networks. Prior to joining MERL, Dr. Wren was a member of the Vision and
Modeling Group at the Media Laboratory of the Massachusetts Institute of
Technology.
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概 要 |
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Sensor networks have the potential to allow the development of truly
intelligent buildings that improve productivity, efficiency, safety, and
security. To be practical, such networks must be efficient, scalable to
very large spaces, and economical to manufacture, install and maintain.
One answer is networks of passive infrared motion detectors. We are
developing technology that enables cost-effective networks to recognize,
predict, and index human activity in We believe that there are significant
implications for the energy efficiency, elevator operation, safety, and
security in buildings. To test these claims we have installed a network
of 215 sensors at MERL and are collecting a large database of activity
from that space. I will present our network and the data it is
generating, and also an overview of technical results that are based on
that data.
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連絡先 |
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間瀬 健二 情報連携基盤センター
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