2006
DOI: 10.1109/tbme.2006.880871
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An Inductive Tongue Computer Interface for Control of Computers and Assistive Devices

Abstract: This letter introduces a new inductive tongue computer interface to be used by disabled people for environmental control. The interface demands little effort from the user, provides a basis for an invisible interface, and has potential to allow a large number of commands to be facilitated.

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Cited by 153 publications
(97 citation statements)
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“…The possible voluntary actions that have been employed as computer interfaces for subjects with SCI include mechanical controls, such as chin-operated devices [6]; tongue-controlled systems and mouthsticks [7][8]; headposition controls [9][10]; and voice commands [11]. Some studies have looked into electromyography (EMG), both to determine head angles using neck EMG signals [12][13] and as an interface for controlling computer cursor position [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…The possible voluntary actions that have been employed as computer interfaces for subjects with SCI include mechanical controls, such as chin-operated devices [6]; tongue-controlled systems and mouthsticks [7][8]; headposition controls [9][10]; and voice commands [11]. Some studies have looked into electromyography (EMG), both to determine head angles using neck EMG signals [12][13] and as an interface for controlling computer cursor position [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…The 1.0 s response time and >90 percent accuracy of the present TDS prototype represent an acceptable performance for a device with six direct commands that are all simultaneously accessible to the user. Even though the TDS hardware and SSP algorithm still have significant room for improvement, the preliminary results with TDS prototypes are already better than the ATs evaluated by Lau and O'Leary [17] as well as the recent tongue-computer interface (TCI) reported by Struijk [25]. The ITR achieved by our TDS prototype is compared with other TCIs and BCIs in Table 2.…”
Section: Benchmarkingmentioning
confidence: 89%
“…For severely disabled individuals who are not locked-in, there are several types of assistive technology. These include the aforementioned tongue control, sip-puff, head-motion sensors, and eye tracking (20,21,25). Each of these methods has its advantages, yet we submit that the combination of simplicity, robustness, high degrees of…”
Section: Discussionmentioning
confidence: 99%
“…In contrast, slower measures dependent on autonomic functions such as salivary pH (17) or brain activity as measured with functional MRI (fMRI) (18,19) both provide valuable windows of communication, but neither allows rapid self-expression. Thus, currently available means of communication and environmental control for high-level spinal cord injury rely on capturing residual control of organs such as the head (20) or tongue (21), and solutions for locked-in syndrome rely on capturing residual control of the sphincter muscles or eye movements (22)(23)(24). Although these and other approaches provide solutions (25), there remains a profound need for effective humanto-machine interfaces that will function in severe disability (26).…”
mentioning
confidence: 99%