2015 3rd IEEE VR International Workshop on Virtual and Augmented Assistive Technology (VAAT) 2015
DOI: 10.1109/vaat.2015.7155403
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A game based assistive tool for rehabilitation of dysphonic patients

Abstract: Figure 1: The full model of the system running scene. ABSTRACTAn assistive training tool for rehabilitation of dysphonic patients is designed and developed according to the practical clinical needs. The assistive tool employs a space flight game as the attractive logic part, and microphone arrays as input device, which is getting rid of ambient noise by setting a specific orientation. The therapist can guide the patient to play the game as well as the voice training simultaneously side by side, while not inter… Show more

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Cited by 55 publications
(18 citation statements)
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“…We will also consider the possibility to reuse the results of other researches about the relation between body type and BSIPs and further conclude the relation between body type and CoM calculation. Some novel technology will also be used to improve this research, e.g., Sensors [44], Virtual Rehabilitation [28] [22], Optimization Algorithm [11].…”
Section: Resultsmentioning
confidence: 99%
“…We will also consider the possibility to reuse the results of other researches about the relation between body type and BSIPs and further conclude the relation between body type and CoM calculation. Some novel technology will also be used to improve this research, e.g., Sensors [44], Virtual Rehabilitation [28] [22], Optimization Algorithm [11].…”
Section: Resultsmentioning
confidence: 99%
“…Virtual reality has been widely applied in many fields range from everyday entertainment and communication [12] [34] to traditional research fields such as geography [21] [29], ocean [27] [19], city [18] [9] [8] and biology [30] [20], clinical assist [13] [14] [17]. Some novel interaction approaches are considered to be integrated in our future work [11] [16] [15].…”
Section: Discussionmentioning
confidence: 99%
“…No zero value pitches estimated also reveals that Autocorrelator and Fft The flaws of Autocorrelator and Fft are that the pitch estimation errors happen when the midi note numbers are more than 60, which means the two algorithms are not suitable for high-pitched voice. Fortunately, the limit of patient voice pitch is 60 as we mentioned in our previous work [13], so the limit of the two algorithms are in the scope of the patients' voice. Therefore, Autocorrelator is the most suitable candidate algorithm for patient voice pitch estimation.…”
Section: Algorithm Comparisonmentioning
confidence: 97%
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