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EN
Tongue machine interface (TMI) is a tongue-operated assistive technology enabling people with severe disabilities to control their environments using their tongue motion. In many disorders such as amyotrophic lateral sclerosis or stroke, people can communicate with the external world in a limited degree. However, they may be disabled, while their mind is still intact. Various tongue–machine interface techniques has been developed to support these people by providing additional communication pathway. In this study, we aimed to develop a tongue–machine interface approach by investigating pattern of glossokinetic potential (GKP) signals using neural networks via simple right/left tongue touchings to the buccal walls for 1-D control and communication, named as GKP-based TMI. As can be known in the literature, the tongue is connected to the brain via hypoglossal cranial nerve. Therefore, it generally escapes from the severe damages, in spinal cord injuries and was slowly affected than limbs of persons suffering from many neuromuscular degenerative disorders. In this work, 8 male and 2 female naive healthy subjects, aged 22 to 34 years, participated. Multilayer neural network and probabilistic neural network were employed as classification algorithms with root-mean-square and power spectral density feature extraction operations. Then the greatest success rate achieved was 97.25%. This study may serve disabled people to control assistive devices in natural, unobtrusive, speedy and reliable manner. Moreover, it is expected that GKP-based TMI could be a collaboration channel for traditional electroencephalography (EEG)-based brain computer interfaces which have significant inadequacies arisen from the EEG signals.
EN
Demographic trends at national levels, caused by the aging of the population, raise the barriers to the possibilities of higher quality of living of the people when their working part of life comes to an end. The contribution to increasing the quality of life can be mostly realized by using customized information-communication solutions and services within the concept of “Ambient Assisted Living” (AAL). The AAL concept uses the advanced available technology to enable new products, services and processes that help ensure higher quality of living for the elderly, the disabled and persons of slow mobility. It also supports enhanced social connectivity, access to the outside world and it should provide inclusion and mobility (autonomy) to all persons. By applying the AAL concept in everyday movements and lives of the users allows the creation of the user base of all relevant information. With synergic action of several technologies the AAL concept becomes even more complex. In order to present this complexity, the paper describes the capabilities of individual technologies depending on the users’ needs, and the models of establishing the possible solutions. The application of the AAL concept in the traffic environment can contribute to significant increase in the quality of life also outside the basic environment (flat, house…). It is necessary to explore also the challenges of the interoperability and the area of coverage of services based in this way because of the sensitivity of the target users to the reliability of the system operation.
PL
Artykuł ma charakter przeglądowy, ukazuje osiągnięcia pracowników Instytutu Informatyki w dziedzinie technologii wspomagających osoby niepełnosprawne. Skrótowo przedstawia on najważniejsze projekty realizowane w Instytucie, ukierunkowane na technologie asystujące przeznaczone dla osób słabo widzących, niewidomych oraz dla osób z problemami słuchu. Artykuł opisuje też aktualnie rozwijane kierunki badań w tym obszarze.
EN
The review article shows the achievements of employees of the Institute of Informatics in the field of assistive technologies. The article briefly presents the main research projects conducted at the Institute, focused on assisting technology for people with Iow vision impairment, blind and for people with hearing problems. The currently developed research in this area is also described.
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