Impact of Movement Amplitude in Dynamic Visual Cues on Motor Imagery Ability and BCI Classification

Motor imagery-based brain-computer interface (MI-BCI) is an important research topic in the field of motor function rehabilitation. Although dynamic visual cues can modulate motor imagery (MI) performance, the role of movement amplitude remains underexplored. This study investigated the effects of movement amplitude in dynamic visual cues on MI ability and MI-BCI classification performance. Participants performed right-hand MI tasks cued by dynamic visual stimuli with three amplitudes: large (60°), medium (40°), and small (20°). Subjective kinesthetic imagery vividness, beta-band Event-related desynchronization (ERD), and classification accuracy were measured. Large-amplitude visual cues significantly enhanced KMI vividness scores (3.14 ± 0.85), elicited stronger MI-related cortical activation (beta-band ERD: −6.92 ± 9.97), and achieved higher MI-BCI classification accuracy (e.g., beta-band accuracy: 93.45% ± 5.37%) compared with medium and small amplitudes. These findings suggest that dynamic visual cue amplitude is associated with improved MI performance and provide practical guidance for optimizing MI-BCI training and rehabilitation-oriented HCI design.

Authors

Institutions

Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2026-08-27
DOI
https://doi.org/10.1080/10447318.2026.2721888
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Movement Amplitude in Dynamic Visual Cues on Motor Imagery Ability and BCI Classification

Yanqun Huang, Jian Zhang, Yumitijiang Tohti, Liwen Shi et al.
International Journal of Human-Computer Interaction
EEG and Brain-Computer Interfaces
article

Impact of Movement Amplitude in Dynamic Visual Cues on Motor Imagery Ability and BCI Classification

Yanqun Huang, Jian Zhang, Yumitijiang Tohti, Liwen Shi, Xueqin Huang, Mohan Yang
article en

Abstract

Motor imagery-based brain-computer interface (MI-BCI) is an important research topic in the field of motor function rehabilitation. Although dynamic visual cues can modulate motor imagery (MI) performance, the role of movement amplitude remains underexplored. This study investigated the effects of movement amplitude in dynamic visual cues on MI ability and MI-BCI classification performance. Participants performed right-hand MI tasks cued by dynamic visual stimuli with three amplitudes: large (60°), medium (40°), and small (20°). Subjective kinesthetic imagery vividness, beta-band Event-related desynchronization (ERD), and classification accuracy were measured. Large-amplitude visual cues significantly enhanced KMI vividness scores (3.14 ± 0.85), elicited stronger MI-related cortical activation (beta-band ERD: −6.92 ± 9.97), and achieved higher MI-BCI classification accuracy (e.g., beta-band accuracy: 93.45% ± 5.37%) compared with medium and small amplitudes. These findings suggest that dynamic visual cue amplitude is associated with improved MI performance and provide practical guidance for optimizing MI-BCI training and rehabilitation-oriented HCI design.

International Journal of Human-Computer Interaction
Tianjin Academy of Fine Arts (CN), Tianjin Special Equipment Supervision and Inspection Technology Research Institute (CN), Tianjin Renai College
National Natural Science Foundation of China
Openalex Percentile: Top 31%
EEG and Brain-Computer Interfaces
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.