A writing aid for dysgraphia affected people
| Autor: | Sultan Shoaib, Nigel Houlden, Waqas Ahmed, Shams-ul Hasan, Mariia Nestiurkina |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
QA75
medicine.diagnostic_test Fist T1 Computer science Speech recognition TK Sensory system 010501 environmental sciences Electroencephalography medicine.disease 01 natural sciences QA76 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Dysgraphia medicine Functional electrical stimulation Functional magnetic resonance imaging 030217 neurology & neurosurgery 0105 earth and related environmental sciences Brain–computer interface Motor cortex |
| Zdroj: | 2020 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference |
| Popis: | Dysgraphia is a writing disability due to ineffective working of motor neurons, causing the patient to face difficulty in writing. Many studies have been done to overcome Dysgraphia but unfortunately, only therapies are made instead of any aid. In this paper, a movement aid is proposed that removes the need of any therapy. The proposed methodology comprises of acquisition of hand movement signal from Motor Cortex and Sensory Brain area by using EEG scanning. These signals are then processed using Brain Computer Interface (BCI2000), which mainly includes Features selection, extraction and translational algorithms to convert signals into commands. These commands are then used to control Hand Movement device. The Hand Movement device uses the FES, applied at the forearm to perform different hand movements. This paper focuses on the flexion and extension of the fist. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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