Museums increasingly use interactive installations to enhance exhibitions with additional content. Virtual reality can give the visitor access to remote places and bring the past back to life. This is especially inter...
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Tongue control with low profile, passive mouth tags is demonstrated as a human-device interface by communicating values of tongue-tag separation over a wireless link. Confusion matrices are provided to demonstrate use...
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Tongue control with low profile, passive mouth tags is demonstrated as a human-device interface by communicating values of tongue-tag separation over a wireless link. Confusion matrices are provided to demonstrate user accuracy in targeting by tongue position. Accuracy is found to increase dramatically after short training sequences with errors falling close to 1% in magnitude with zero missed targets. The rate at which users are able to learn accurate targeting with high accuracy indicates that this is an intuitive device to operate. The significance of the work is that innovative very unobtrusive, wireless tags can be used to provide intuitive human-computerinterfaces based on low cost and disposable mouth mounted technology. With the development of an appropriate reading system, control of assistive devices such as computer mice or wheelchairs could be possible for tetraplegics and others who retain fine motor control capability of their tongues. The tags contain no battery and are intended to fit directly on the hard palate, detecting tongue position in the mouth with no need for tongue piercings.
The recognition of faces is a fundamental visual function that is important for social interaction and communication. Scientific interest in facial recognition has increased dramatically over the last decade. Research...
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ISBN:
(数字)9780262289313
ISBN:
(纸本)9780262014533
The recognition of faces is a fundamental visual function that is important for social interaction and communication. Scientific interest in facial recognition has increased dramatically over the last decade. Researchers in such fields as psychology, neurophysiology, and functional imaging have published more than 10,000 studies on face processing. Almost all of these studies focus on the processing of static pictures of faces; however, little attention has been paid to the recognition of dynamic faces, faces as they change over time—a topic in neuroscience that is also relevant to a variety of technical applications, including robotics, animation, and human–computer interfaces. This book offers an interdisciplinary overview of recent work on dynamic faces from the biological and computational perspectives. The chapters cover a range of topics, including the psychophysics of dynamic face perception, results from electrophysiology and imaging, clinical deficits in patients with impairments of dynamic face processing, and computational models that provide insights about the brain mechanisms for the processing of dynamic faces. The book offers neuroscientists and biologists a reference for designing experiments and provides computer scientists with knowledge that will help them improve technical systems for the recognition, processing, synthesizing, and animating of dynamic faces.
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