Currently available disability aids equipment has been developed based on a customized functionality in order to accommodate the condition of each individual’s type of disability. This has resulted in high equipment cost, preventing its wide spread use and preventing improvement in quality of life for individual in needs of such equipment. However, through advancement in network technology where ordinary integrated devices with modularized functionality can be interconnected in a built-in network, has helped manufacturers to develop new products with shorter development cycle and reduced cost, paving the way in development of customized disability aids equipment for each individual at an affordable prices. Based on this concept group of researchers at AIST (Advanced Industrial Science and Technology) have developed a human interface technologies comprising of a gesture input device and a speech input device. The gesture input device is responsible for detecting the movement of person through a stereo camera, where it calculates the changing shape of the person three dimensionally at high speed and has the advanced function in identifying gestures in a non-contact, non-constraint manner, allowing the individuals to control the equipment by simply moving hand, shoulder, or head.
Through modification of the software, the gesture input device can be adjusted to match the changes in the movement of a person with a progressive illness. The other piece of equipment in this system is a speech recognition device capable of recognizing unclear speech as a tool in controlling home equipment, as well as bearing a capability of working with other input devices. Additionally, the system comes with active caster with a built-in motor, as an output device in assisting individuals, where the object to be moved can be simply maneuvered by the casters attached to it. Based on weight and size of the objects, more than one caster may have to be attached. The caster may not have to be attached to each position since the position is automatically calculated and the object can be maneuvered remotely. To make it all work together the system comes with a RT middleware, making it possible to customize the system for each individual need. With distribution of various aids equipment throughout home in a network, the home environment can be considered as one system disability aids, with functionally distributed across a room. Based on this system AIST has developed three type of home environment models; a home equipment control assist system helping people with mobility impairment, cooking assist system designed to help individual with brain dysfunction due to stroke with their cooking training, and an environment management system to detect changes in the home environment helping people with visual impairment