Hand-held text-to-speech device for the non-vocal disabled

Damper, R. I.; Burnett, J.W.; Gray, P.W.; Straus, L.P.; Symes, Rachel A.

doi:10.1016/0141-5425(87)90082-3

Cited by 11 publications

(4 citation statements)

References 7 publications

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“…P300 potential is a signal that is frequently employed in BCI with several clear benefits. First, due to P300's low latency, a single experiment can be conducted in a relatively short period of time [42]. Second, the P300-BCI has many potential applications [43] and is simple to learn.…”

Section: P300mentioning

confidence: 99%

Augmented reality and brain-computer interfaces for human-robot collaboration in manufacturing contexts

Gao

Xu²

2022

International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022)

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The most practical methods to allow manipulators to work together in the same workspace and collaborate with humans on the same tasks are brain-computer interfaces (BCIs) and augmented reality (AR). This paper provides a theoretical introduction to AR and BCI technologies in human-robot collaboration (HRC), fully demonstrating the practicability of AR-HRC and BCI-HRC solutions in manufacturing workspaces, including key advantages and future interests. Results show that these solutions have great potential to improve the current manufacture situation and impact the future research of HRC.

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Section: P300mentioning

confidence: 99%

Augmented reality and brain-computer interfaces for human-robot collaboration in manufacturing contexts

Gao

Xu²

2022

International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022)

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“…22 A hand-held text-to-speech system for non-vocally disabled is presented. 23 The image reproduction algorithms for high contrast scenes on large and small screen display devices are introduced. 24 The video-based descriptors for object recognition operating on a hand-held device is described.…”

Section: Related Workmentioning

confidence: 99%

A Light Weight Text Extraction Technique for Hand-Held Device

Angadi

Kodabagi²

2015

Int. J. Image Grap.

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Automated systems for understanding display boards are finding many applications useful in guiding tourists, assisting visually challenged and also in providing location aware information. Such systems require an automated method to detect and extract text prior to further image analysis. In this paper, a new approach that uses zonewise profile features to identify and segment text regions from low resolution images of display boards captured from mobile phone cameras is presented. The method computes zonewise profile features on every 40 × 40 pixel image block and identifies potential text blocks using newly defined discriminant functions. Further, a merging algorithm is used to merge text blocks to obtain text regions. The method is implemented using the android software development kit and experimented on Sony X-PeriaTM Z C6603/C6602 mobile.The proposed methodology is evaluated on 3240 low resolution images of display boards captured from 2 and/or 5 mega pixel cameras on mobile phones at various pixel sizes 240 × 320, 480 × 640 and 960 × 1280 and reports an average processing time of 13 s and detection rate of 95.5%. The proposed method is found to be robust and insensitive to the variations in size and style of font, thickness and spacing between characters. . His research areas include image processing, pattern recognition, character recognition, soft computing, optimization and graph theoretic techniques, internet of things and web technology. He is a co-author of a book on C-programming language. He is a life member of professional bodies like IETE and ISTE, and member of IEEE. His research areas include: Image processing and pattern recognition, text extraction, text recognition, language understanding and machine translation, fuzzy systems, and neural networks. He is member of professional bodies like IEEE and ISTE. 1550017-20 Int. J. Image Grap. 2015.15. Downloaded from www.worldscientific.com by UNIVERSITY OF PITTSBURGH on 08/13/15. For personal use only.

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“…Speech therapists often emphasize the need for a communication aid to be "immediately usable," as this minimizes problems of training, provides positive feedback at an early stage, and makes the aid useful to a range of clients (including children and those only temporarily unable to speak). Not surprisingly, then, TO used in conjunction with a sequential keyboard has been the method of message entry for most text-tospeech aids (e.g., Damper, Burnett, Gray, Straus, & Symes, 1986).…”

Section: Rapid Message Composition and Speech Output 153mentioning

confidence: 99%

Rapid message composition for large vocabulary speech output aids: A review of the possibilities

Damper

1986

Augmentative and Alternative Communication

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Hand-held text-to-speech device for the non-vocal disabled

Cited by 11 publications

References 7 publications

Augmented reality and brain-computer interfaces for human-robot collaboration in manufacturing contexts

Augmented reality and brain-computer interfaces for human-robot collaboration in manufacturing contexts

A Light Weight Text Extraction Technique for Hand-Held Device

Rapid message composition for large vocabulary speech output aids: A review of the possibilities

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