Academic Journal
A Wearable Multimodal Assistive Interface for Virtual Cursor Control in Stroke Survivors with Upper-Limb Impairment.
| Τίτλος: | A Wearable Multimodal Assistive Interface for Virtual Cursor Control in Stroke Survivors with Upper-Limb Impairment. |
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| Συγγραφείς: | Liang Y; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China., Zhang L; Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China., Jiang Y; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China., Zhu J; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; South China Brain-Computer Interface Technology Co., Ltd., Guangzhou 510320, China., Zhao Y; Department of Rehabilitation Medicine, Guangzhou Dongsheng Hospital, Guangzhou 510500, China., Qin P; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China.; Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China., Chen D; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China., Peng J; School of Computing and Data Science, The University of Hong Kong, Hong Kong 999077, China., Li Y; School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China.; Research Center for Brain-Computer Interface, Guangdong Laboratory of Artificial Intelligence and Digital Economy (Guangzhou), Guangzhou 510335, China., Hu X; Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China. |
| Πηγή: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Aug 28; Vol. 26 (17). Date of Electronic Publication: 2026 Aug 28. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Basel, Switzerland : MDPI, c2000- |
| Ιατρικοί όροι (MeSH): | Stroke*/physiopathology , Upper Extremity*/physiopathology , Stroke Rehabilitation*/methods , Wearable Electronic Devices* , User-Computer Interface*, Humans ; Female ; Male ; Electroencephalography ; Middle Aged ; Electrooculography ; Adult ; Survivors ; Aged |
| Περίληψη: | Stroke survivors with upper-limb impairments often have difficulty using conventional computer interfaces, which limits their ability to perform daily computer-related activities independently. This study developed a wearable multimodal assistive interface that enables computer interaction through a virtual cursor. A lightweight headband equipped with electrooculography (EOG), electroencephalography (EEG), and an inertial measurement unit (IMU) was used to acquire multimodal signals for interaction control. EOG signals were processed to detect voluntary blinks to generate clicks, head movements were mapped to cursor movements through IMU-based control, and frontal EEG signals were used to estimate attention as an auxiliary mechanism for command verification. A rapid user-specific calibration procedure was introduced to adapt blink-detection thresholds to individual EOG characteristics without requiring extensive training. Thirty stroke patients with upper-limb impairments participated in experiments involving common computer tasks, including news reading, video playback, and character spelling. The system achieved an average operation accuracy of 87.53 ± 4.92%, an average operation time of 3.49 ± 0.49 s, and an information transfer rate of 62.04 ± 15.93 bits/min in the spelling task. The mean NASA-TLX score was 32.1 ± 5.4, indicating a moderate subjective workload during system use. These results demonstrate the feasibility of the proposed wearable multimodal assistive interface for supporting computer interaction in stroke survivors with upper-limb impairments. |
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| Grant Information: | 2022ZD0208900 STI 2030-Major Projects; 2018B030339001 the Key R&D Program of Guangdong Province, China; 202007030007 the Key Realm Research and Development Program of Guangzhou, China; 2024D02J0008 the Guangzhou Talent Plan; 32371098 National Natural Science Foundation of China |
| Contributed Indexing: | Keywords: assistive technology; electroencephalography; electrooculography; human–computer interaction; inertial measurement unit; multimodal interaction; stroke rehabilitation; virtual cursor; wearable assistive interface |
| Entry Date(s): | Date Created: 20260915 Date Completed: 20260915 Latest Revision: 20260916 |
| Update Code: | 20260916 |
| PubMed Central ID: | PMC13568087 |
| DOI: | 10.3390/s26175436 |
| PMID: | 42740056 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1424-8220 |
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| DOI: | 10.3390/s26175436 |