Ideas
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Smart Anti Camouflage. (Clothes become transparent<>opaque.)
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Recharge my iPod Mini with the warmth of my body.
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The implated wedding ring. (Amor)
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Mnemosyne.com, memory clothes for babys.
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Make this thing more beautiful.
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RFID Bag
If somebody is against the integration of rfid chips into consumer products, he/she can wear this bag. But when such a rfid chip gets into the bag, the Contra turns into a Pro.
mitdenken — einsortiert am 19.06.07 von m
It's where
“It’s where Tom Ford meets Steve Jobs.” Hm, what if … meets …??
[fashion and innovation keynote]
mitdenken — einsortiert am 6.06.07 von m
Tragbares aus dem MIT
First of all: papers, papers and… papers.
Bild links:
Kleidung als Schutz, nicht nur vor Regen oder Kälte, auch vor köperlichem Angriff. Der Pullover registriert Berührungen, und zeichnet diese auf.
Bild rechts:
MIThril is a next-generation wearables research platform developed by researchers at the MIT Media Lab. The goal of the MIThril project is the development and prototyping of new techniques of human-computer interaction for body-worn applications. Through the application of human factors, machine learning, hardware engineering, and software engineering, the MIThril team is constructing a new kind of computing environment and developing prototype applications for health, communications, and just-in-time information delivery.
The MIThril hardware platform combines body-worn computation, sensing, and networking in a clothing-integrated design. The MIThril software platform is a combination of user interface elements and machine learning tools built on the Linux operating system.
[via media.mit.edu/wearables/mithril]
SOCIAL_APP
LifeWear
LifeWear is a wearable system used to create automatic diaries of one’s daily life. The platform is composed of a Sharp Zaurus worn on the chest, two wireless accelerometers called MITes, a MITe receiver, a microphone, and a CF camera.
UbER Badge
The UbER Badge is a conference-style badge that enables the development of wearable applications that scale up to hundreds of people in a single event. The badge includes electronic components to sense information about the wearer’s context, display both private and public messages, and communicate with other badges both in the immediate vicinity and over distance.
HUMAN_DATAMINING
GroupMedia
GroupMedia is a set of tools and applications to enable social context awareness and quantitative intelligence on pervasive cell phones and PDAs. By building quantitative models of human behavior and social interaction, we can devise next generation social software for the wearable devices.
Reality Mining
The Reality Mining experiment is one of the largest academic mobile phone projects in the US. Our research agenda takes advantage of the increasingly widespread use of mobile phones to provide insight into the dynamics of both individual and group behavior. By leveraging recent advances in machine learning we are building generative models that can be used to predict what a single user will do next, as well as model behavior of large organizations.
Learning Humans
The purpose of this set of projects is to develop techniques for learning human behavior in an office or a social situation. Projects include learning both human control and interactive behaviors. We want to build machines that understand person’s intentions by the set of subtle queues and patterns of his regular behavior. This will help to seamlessly integrate computers into our everyday lives.
DIGITAL_HEALTHCARE
LiveNet
Incorporating new healthcare technologies for proactive health and elder care will become a major priority over the next decade, as medical care systems world-wide become strained by aging populations. The LiveNet platform is a flexible distributed mobile system that can be deployed for a variety of proactive health applications that can help reduce the strain on the healthcare industry. LiveNet enables a variety of large-scale wireless group applications by leveraging the availability of Linux-based PDA hardware combined with innovative open-source software and custom sensor hardware. The LiveNet system is based on the MIThril 2003 architecture, a proven accessible architecture that combines inexpensive commodity hardware, a flexible sensor/peripheral interconnection bus, and a powerful light-weight distributed sensing, classification, and inter-process communications software layer to facilitate the development of distributed real-time multimodal and context-aware applications. LiveNet also opens up the door for practical long-term continuous monitoring applications to identify physiological and behavioral trends that vary slowly with time. The system can also allow people to receive real-time feedback from their continuously monitored and analyzed health state, as well as communicate health information with care-givers and other members of an individual’s social network for support and interaction.
mitdenken — einsortiert am 5.06.07 von m