For example, the National Classification System for Assistive Technology Devices and Services, which is used in the United States, divides assistive technology into the following classes: architectural elements, sensory elements, computers, controls, independent living, mobility, orthotics/prosthetics, recreation/leisure/sports, and modified furniture/furnishings.
… We can help with essential items such as washing machines, fridges and clothing but can also consider grants for sensory toys, computers and much needed family breaks together" Immune Deficiency Foundation (www.primaryimmune.org)—Provides information and support for patients with a primary immunodeficiency disease.
The authors therefore argue for the introduction of tablets in schools because their multi-sensory human-computer touch interaction provides interactive manipulatives supporting transition between representations on the concrete, visual and abstract level.
Non-invasive stimulation devices such as tDCS, TMS, tFUS may help individuals to achieve every-day goals such as mobility, multi-sensory integration, computer-use, paying attention, relaxation, falling asleep, improving one's gaming skills or learning.
Responsive environments, the use of sensory technology and computer equipment to create a collaborative relationship between objects in an environment and the movements of the human body.
Searle rejects this criticism as well, claiming that the "sensory" input the computer receives would also consist of symbols, which a person or a machine could manipulate appropriately without any understanding of their meaning.
More studies elaborating on pain mechanisms using quantitative sensory testing among computer users [ 53] are needed to obtain a more profound understanding of the WMSD [ 1].
The present study found no differences in response to quantitative sensory testing between computer users with and without low pain intensity chronic upper extremity and/or neck-shoulder pain.
Clarification of the latter point could additionally comprise an important step in developing an experimental strategy to examine the consequences of virtual/digital media-derived sensory information (television, computer gaming) for information encoding in the "real" world.
The results showed that both the sensory and the computer-assisted image analyses were able to detect differences between varieties as well as storage times.
The results from the sensory and the computer-assisted image analyses of the shape and interior structure of the tubers were related to the experimental design and to the dry matter content of the individual tubers, by partial least-squares regression (PLSR).
