Volume 16, Issue 1

This article presents L-NeRVEn, a software solution for after-stroke upper limb neurorehabilitation utilizing collaborative virtual reality (VR). L-NeRVEn offers a shared virtual environment, experienced via a VR headset, with animated full-body avatars representing both the therapist and the patient. The patient’s task is to imagine a particular movement with his or her disabled limb and the success of this imagination is determined by the processing and classification of the patient’s electroencephalography (EEG) signal. The EEG processing component is loosely coupled with the rest of the solution and can be easily modified or replaced. The article focuses on the architecture and appearance of L-NeRVEn, explains the role of its users, and the interaction of its components. It also presents the results of L-NeRVEn evaluation with n = 18 participants, utilizing subjective (SUS, IPQ and NASA-TLX questionnaires) and objective (video recordings and observer’s notes) methods.

To solve the insufficient educational resources in offline classroom English teaching, the research focuses on online teaching and designs an online grammar correction algorithm to help students realize automatic online error correction. The algorithm is based on the Transformer model algorithm based on multi-head attention mechanism (MHAM), and integrates word order information into the encoding process. Three pseudo-parallel corpora are used to expand the number of training data. Finally, Adam is used to optimize the model parameters to improve the model performance. The accuracy, recall, and F 0.5 of the algorithm formed after two one-way optimization are the highest values in the same type of optimization model. The SP + Pre human + TF copy algorithm formed after double optimization has the best comprehensive performance. The accuracy rate reached 68.53 %, and the F 0.5 value reached 58.26 %, both of which were the highest values in the comparison model. Moreover, this method can also provide certain technical support for the establishment of multilingual interaction platforms and high-quality natural language generation.