Physical computing involves interactive systems that can sense and respond to the world around them. While this definition is broad enough to encompass systems such as smart automotive traffic control systems or factory automation processes, it is not commonly used to describe them. In a broader sense, physical computing is a creative framework for understanding human beings' relationship to the digital world. In practical use, the term most often describes handmade art, design or DIY hobby projects that use sensors and microcontrollers to translate analog input to a software system, and/or control electro-mechanical devices such as motors, servos, lighting or other hardware. Physical Computing intersects the range of activities often referred to in academia and industry as electrical engineering, mechatronics, robotics, computer science, and especially embedded development.
Examples
Physical computing is used in a wide variety of domains and applications.
In Education
The advantage of physicality in education and playfulness has been reflected in diverse informal learning environments. The Exploratorium, a pioneer in inquiry based learning, developed some of the earliest interactive exhibitry involving computers, and continues to include more and more examples of physical computing and tangible interfaces as associated technologies progress.
Physical computing practices also exist in the product and interaction design sphere, where hand-built embedded systems are sometimes used to rapidly prototype new digital product concepts in a cost-efficient way. Firms such as IDEO and Teague are known to approach product design in this way.
In Commercial Applications
Commercial implementations range from consumer devices such as the Sony Eyetoy or games such as Dance Dance Revolution to more esoteric and pragmatic uses including machine vision utilized in the automation of quality inspection along a factory assembly line. Exergaming can be considered a form of physical computing. Other implementations of physical computing include voice recognition, which senses and interprets sound waves via microphones or other soundwave sensing devices, and computer vision, which applies algorithms to a rich stream of video data typically sensed by some form of camera. Haptic interfaces are also an example of physical computing, though in this case the computer is generating the physical stimulus as opposed to sensing it. Both motion capture and gesture recognition are fields that rely on computer vision to work their magic.
In Scientific Applications
Physical computing can also describe the fabrication and use of custom sensors or collectors for scientific experiments, though the term is rarely used to describe them as such. An example of physical computing modeling is the Illustris project, which attempts to precisely simulate the evolution of the universe from the Big Bang to the present day, 13.8 billion years later.
Methods
Prototyping plays an important role in Physical Computing. Tools like the Wiring, Arduino and Fritzing as well as I-CubeX help designers and artists to quickly prototype their interactive concepts.
