Human Movements in Human-Computer Interaction (HCI) by Cezary Biele

Author:Cezary Biele
Language: eng
Format: epub, pdf
ISBN: 9783030900045
Publisher: Springer International Publishing

6.4.2 Body-Machine Interfaces

Body-machine interface systems can be useful when the use of standard computer interfaces proves impracticable, such as when partially paralyzed users are involved [34, 35]. These systems collect signals from body movements, which is significantly easier than doing so directly from the cerebral cortex (as is the case with brain-computer interfaces). The most appreciable advantage of body-machine interfaces over brain-computer interfaces is that they can use motor ability (even when partially impaired) to control new actions in a controlled interface. Brain-computer interfaces demand conscious control of brain activity—a skill that is arduous to acquire (see Future Directions chapter).

The body-machine interface approach can be effective for those who, despite their injuries, remain capable of performing certain motor actions. Its effectiveness has been demonstrated by an artificial arm controlled using EMG signals [36] and a system that enables its users to control wheelchairs using their tongues [37]. Abdollahi et al. [34] devised a system to improve the quality of life of those who have suffered spinal injuries, but have not fully lost their motor skills. It relies on inertial sensors attached to a specially-constructed vest (four sensors ensure motion capture in eight degrees of freedom); the resulting signals are converted into a two-dimensional task space. The effectiveness of the system was tested in different tasks: cursor control, typing on a virtual keyboard, and solitaire games. Tests conducted by the authors indicate that body-machine interface solutions can serve as effective computer interaction tools for those who have partially retained mobility following spinal injuries.

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