Actiontracking for Multi-platform Mobile Applications

Sroczyński, Zdzisław

doi:10.1007/978-3-319-57141-6_37

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…A proper and effective Human-Computer Interaction (HCI) model is an essential and challenging issue in the design of modern computer based systems, especially those intended for e-learning [21,23], mobile devices [45] or support for people with special needs [26,33,35,42], including elderly ones [34]. The research in this area takes into account many different users' needs, and main conclusions point out the need to increase flexibility and adaptivity of user experience [6].…”

Section: Motivationmentioning

confidence: 99%

Rule based intelligent system verbalizing mathematical notation

Bier

Sroczyński

2019

Multimed Tools Appl

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An adaptive and adaptable multipurpose math-to-speech translation system is proposed in the paper. Along with the detailed presentation and design approach for the core math-tospeech translation system, exemplary output and tests are discussed. A scripting extension, providing flexibility of the system and enabling the user to adjust the output translations to his/hers preferences is incorporated into the presented solution. Some unit-tests and adaptable versions of translation rule sets are elaborated and evaluated by means of standard measures of machine translation quality. Designed as a flexible self contained solution, the presented system may be applied for various purposes such as e-learning audio presentation systems, educational tools for non-native speakers or visually impaired people, and may be easily adjusted to different national languages.

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Section: Motivationmentioning

confidence: 99%

Rule based intelligent system verbalizing mathematical notation

Bier

Sroczyński

2019

Multimed Tools Appl

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“…Quite a frequent mechanism is processing not on the device, but in the computing cloud [10]. Another thing is the frontend of the software and the ways in which the application is displayed to the user [11], [12]. Conducted research is not only related to the signature but also to other elements that can confirm our identity, an example of which are the fingerprint and iris of the eye [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

Signature analysis system using a convolutional neural network

Winnicka

Kęsik

Połap

2019

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems

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Identity verification using biometric methods has been used for many years. A special case is a handwritten signature made on a digital device or piece of paper. For the digital analysis and verification of its authenticity, special methods are needed. Unfortunately, this is a rather complicated task that quite often requires complex processing techniques. In this paper, we propose a system of signatures verification consisting of two stages. In the first one, a signature pattern is created. Thanks to this, the first attempt to verify identity takes place. In the case of approval, the second stage is followed by the processing of a graphic sample containing a signature by the convolutional neural network. The proposed technique has been described, tested and discussed due to its practical use.

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“…Support for augmented reality is performed using a certain application with access to the camera. It is a kind of human-machine interaction [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Voice control in mixed reality

Połap

2018

Annals of Computer Science and Information Systems

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The gameplay in the augmented or virtual reality is based on the use of external equipment such as glasses/telephones and possibly the use of additional sensors or controllers. In both cases, the interaction involves pressing the keys on the phone or controller. An interesting aspect is the control of objects created in a virtual way using voice commands. In this paper, we propose a solution to manipulate objects in the augmented reality using player's voice. The user can move the object using pre-programmed commands. The solution is based on speech processing and artificial neural networks. The technique has been tested and the results presented and discussed.

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Actiontracking for Multi-platform Mobile Applications

Cited by 6 publications

References 10 publications

Rule based intelligent system verbalizing mathematical notation

Rule based intelligent system verbalizing mathematical notation

Signature analysis system using a convolutional neural network

Voice control in mixed reality

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