Rytis Maskeliunas

Consumer-grade EEG devices: are they usable for control tasks?

We present the evaluation of two well-known, low-cost consumer-grade EEG devices: the Emotiv EPOC and the Neurosky MindWave. Problems with using the consumer-grade EEG devices (BCI illiteracy, poor technical characteristics, and adverse EEG artefacts) are discussed. The experimental evaluation of the devices, performed with 10 subjects asked to perform concentration/relaxation and blinking recognition tasks, is given. The results of statistical analysis show that both devices exhibit high variability and non-normality of attention and meditation data, which makes each of them difficult to use as an input to control tasks. BCI illiteracy may be a significant problem, as well as setting up of the proper environment of the experiment. The results of blinking recognition show that using the Neurosky device means recognition accuracy is less than 50%, while the Emotiv device has achieved a recognition accuracy of more than 75%; for tasks that require concentration and relaxation of subjects, the Emotiv EPOC device has performed better (as measured by the recognition accuracy) by ∼9%. Therefore, the Emotiv EPOC device may be more suitable for control tasks using the attention/meditation level or eye blinking than the Neurosky MindWave device.

Recognition of Voice Commands Using Hybrid Approach

Computerized systems with voice user interfaces could save time and ease the work of healthcare practitioners. To achieve this goal voice user interface should be reliable (to recognize the commands with high enough accuracy) and properly designed (to be convenient for the user). The paper deals with hybrid approach implementation issues for the voice commands recognition. By the hybrid approach we assume the combination of several different recognition methods to achieve higher recognition accuracy. The experimental results show that most voice commands are recognized good enough but there is some set of voice commands which recognition is more complicated. In this paper the novel method is proposed for the combination of several recognition methods based on the Ripper algorithm. Experimental evaluation showed that this method allows achieve higher recognition accuracy than application of blind combination rule.

Modeling Aspects of Multimodal Lithuanian Human - Machine Interface

The paper deals with modeling of multimodal human - machine interface. Multimodal access to the information retrieval system (computer) is possible by combining three different approaches: 1) Data input / retrieval by voice; 2) Traditional data input / retrieval systems; 3) Confirmation / rejection by recognizing and displaying human face expressions and emotions. A prototype of multimodal access for web application is presented by combining three modalities. Lithuanian language speech recognition experiment results on transcriptions and outcomes of discriminant analysis are presented.

Advances on the use of the foreign language recognizer

This paper presents our most recent activities trying to adapt the foreign language based speech recognition engine for the recognition of the Lithuanian speech commands. As presented in our earlier papers the speakers of less popular languages (such as the Lithuanian) have several choices: to develop own speech recognition engines or to try adapting the speech recognition models developed and trained for the foreign languages to the task of recognition of their native spoken language. The second approach can lead to the faster implementation of the Lithuanian speech recognition modules into some practical tasks but the proper adaptation and optimization procedures should be found and investigated. This paper presents our activities trying to improve the recognition of Lithuanian voice commands using multiple transcriptions per command and English recognizer.

Trajectory based fuzzy controller for indoor navigation

The experimental results of fuzzy based indoor navigation system are presented in this article. The system was built with simplicity in mind, employing roof mounted visual sensors and fuzzy logic for the guidance and positioning of an autonomous mobility device with real-life noisy and delayed visual data processing. The fuzzy control strategy presented bellow works on a given (predefined) trajectory principle. The position of the device in the 2D plane, the distance from the given trajectory, orientation and control tasks are evaluated according to visual data. The controller controls the angular velocities of two device drive wheels based on the distance to the segment of the given trajectory and the orientation. Paper presents the control model and algorithm of a real-life prototype, as well as the quite promising experimental evaluation of the indoor autonomous navigation capabilities.

Analysis of the Possibilities to Adapt the Foreign Language Speech Recognition Engines for the Lithuanian Spoken Commands Recognition

This paper presents our activities trying to adapt the foreign language based speech recognition engine for the recognition of the Lithuanian speech commands. The speakers of less popular languages (such as the Lithuanian) have several choices: to develop own speech recognition engines or to try adapting the speech recognition models developed and trained for the foreign languages to the task of recognition of their native spoken language. The first approach is expensive in time, financial and human resources sense. The second approach can lead to the faster implementation of the Lithuanian speech recognition modules into some practical tasks but the proper adaptation and optimization procedures should be found and investigated. This paper presents some of our efforts trying to adapt the foreign language oriented speech recognition engines for the recognition of the Lithuanian speech commands for the speaker-independent applications. The experimental investigation shows that the promising results could be achieved with relatively modest investments.

On the Adaptation of Foreign Language Speech Recognition Engines for Lithuanian Speech Recognition

This paper presents some of our activities trying to adapt the foreign language based speech recognition engines for the recognition of the Lithuanian speech commands. In recent years several quiet successful speech recognition engines became available for the most popular languages (such as English, French, Spanish, German, etc.). The speakers of a less widely used languages (such as Lithuanian) have several choices: to develop own speech recognition engines or to try adapting speech recognition models developed and trained for the foreign languages to the task of recognition of their native spoken language. First approach is expensive in time, financial and human resources sense. Second approach can lead to faster implementation of Lithuanian speech recognition modules into some practical tasks but proper adaptation and optimization procedures should be found and investigated.

Are you ashamed? Can a gaze tracker tell?

Our aim was to determine the possibility of detecting cognitive emotion information (neutral, disgust, shameful, ‘‘sensory pleasure’’) by using a remote eye tracker within an approximate range of 1 meter. Our implementation was based on a self-learning ANN used for profile building, emotion status identification and recognition. Participants of the experiment were provoked with audiovisual stimuli (videos with sounds) to measure the emotional feedback. The proposed system was able to classify each felt emotion with an average of 90% accuracy (2 second measuring interval). Subjects Human-Computer Interaction, Artificial Intelligence, Computer Vision

Voice Controlled Interface for the Medical-Pharmaceutical Information System

This paper describes our efforts developing the voice controlled interface for the medical- pharmaceutical information system. It is well known that voice controlled interfaces are of particular importance and may provide significant convenience for healthcare professionals. Many international IT companies provide speech processing by using tools oriented at the physicians or at other professionals working in the related areas. Lithuanian professionals feel a significant lack of speech processing since there are still no attempts to integrate Lithuanian speech processing into medical information systems in this country. The paper presents several IS under development for the use in Lithuanian healthcare institutions. The experimental evaluation shows that it is possible to achieve recognition accuracy (at least 95% of correct recognition) acceptable for the practitioners. The evaluation of system prototypes shows that voice interfaces may lead to the increased convenience of IT systems at the healthcare practitioners.

Vision Enhancement Technique Based on Eye Tracking System

In this paper a gaze tracking system is presented that allows stress free reading for people who are paralyzed, with low vision or who have both disabilities. The system tracks the positions of the eye pupil corneal reflection and finds the point of the readers gaze. The user wears a head-mounted device (special eyeglasses) when he sits in front of the computer screen. The integrated possibility of magnification has allowed more effective working with the computer, including accurate selections of targets, faster reading and writing. The experiments have shown the usefulness of the proposed system and claim that it can not only enhance the human vision but can also increase the living quality by allowing non-contact interaction with the computer.