Ambient Control through Cognitive Data

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The Emotiv headset allows users the ability to wirelessly control objects through expression, emotion and cognitive data.Based on the EEG technology, emotiv has transformed the cognitive control patterns into a wearable remote control. This headset allows for control of real-time data which can directly a UI or environment. For example, your mood state could drive the meta-data relationships in a user interface to show you only particular images from your Flickr account or directly affect the physical geometry of the user’s seat as they read a book.



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Photosynth, developed by Microsoft Live Labs, allows for the creation of realistic 3d images using data from the internet, taken photos and sourced photos from the internet to inform a college in a more spatial way of viewing, allowing user to be able to visualise environments in a way that is more akin to real-life.

Data Based Ambient Transitions

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‘Laban’ was the thesis project for my undergraduate in Architectural Studies. I focused on the circulation and density of people within certain areas of a building. After mapping peoples movements throughout the course of a day I transferred this data into my design to help create an ergonomically sound building in which the amount of light entering the building was in direct correlation to the amount of people in space. Using a series of Heliostats and Convex mirrors, the degree of placement move as the sun tracks the building.

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Digital Dawn – loop.pH

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DigitalDawn is a reactive window blind with a surface that is in constant flux, growing in luminosity in response to its surroundings. It digitally emulates the process of photosynthesis using printed electroluminescent technology.

Light sensors monitor the changing light levels of the space triggering the growth of the foliage on the blind. The piece explores how changing light levels within a space can have a profound and physiological impact on our sense of well being.

Systems and Technologies

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Ambient Intelligent systems are explicitly spatial, they arise out of concerns for the movements and actions of people in space and they suggest a model of spatial design and architecture that employs interaction systems to create different modes of communication in an environment.

A variety of technologies can be used to enable ambient intelligent environments. The technologies used are directly dependant on the type of activity to be undertaken and therefore equipment required and intelligence needed. Technological capabilities are progressing at rapid speed. In accordance with Moores Law, data density on integrated circuits is continuing to double every eighteen months. Storage, capacity, CPU, speed, memory, wireless transfer speed and battery energy are all showing similar rates of change. More functionality is becoming possible at lower cost, with easier configuration and more wide spread possibilities. The environments that are created today have an essential requirement to provide a platform for possible change; otherwise what is created today will not be appropriate for use in five year’s time.

A typical example of this interaction could be a bio sensor network monitoring physiological parameters – heart rate blood pressure or sugar levels. Some of the sensors may be body worn others may be integrated into the surroundings connected through a network. An example of this is in health monitoring applications in which alarms or drug doses may be adapted using information from the ambient sensors, both at network level and on a one to one basis.

The benefits of ambient intelligence are in their ability to adapt an environment to counteract uncomfortable architectural parameters or to a personalised preference of comfort in order to create a space of cognitive balance. Lighting can adjusts its intensity level and colour profile to your level of stress or your activity needs, kitchens are able to adapt its configurations to cognitive needs during cooking, offering recipe guidance and real-time monitoring. Desks in offices are smart in predicating needs for computing and building systems adapt air quality for comfort and lighting levels for productivity.

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