L
Li Zhang
Researcher at Chongqing University
Publications - 4
Citations - 14
Li Zhang is an academic researcher from Chongqing University. The author has contributed to research in topics: Interface (computing) & Generalized canonical correlation. The author has an hindex of 1, co-authored 4 publications receiving 2 citations.
Papers
More filters
Journal ArticleDOI
Similarity-constrained task-related component analysis for enhancing SSVEP detection.
TL;DR: In this paper, a similarity-constrained TRCA (scTRCA) algorithm was proposed to remove the task-related noise and extract TRCs maximally correlated with SSVEPs for enhancing SSVEP detection.
Proceedings ArticleDOI
Improving SSVEP Identification Accuracy via Generalized Canonical Correlation Analysis
TL;DR: In this paper, a generalized canonical correlation analysis (GCCA) method was proposed to simultaneously maximize the correlation among three sets of data, i.e., the individual training data, the individual template, and the predefined sine-cosine signal for improving SSVEP detection.
Proceedings ArticleDOI
Hybrid Template Canonical Correlation Analysis Method for Enhancing SSVEP Recognition under data-limited Condition
Runfeng Miao,Li Zhang,Qiang Sun +2 more
TL;DR: In this article, an advanced CCA-based algorithm called hybrid template canonical correlation analysis (HTCCA) was proposed to improve the performance of brain-computer interface (BCI) based on steady state visual evoked potential (SSVEP) under data-limited condition.
Posted Content
Hybrid Template Canonical Correlation Analysis Method for Enhancing SSVEP Recognition under data-limited Condition
Runfeng Miao,Li Zhang,Qiang Sun +2 more
TL;DR: In this paper, an advanced CCA-based algorithn called hybrid template canonical correlation analysis (HTCCA) was proposed to improve the performance of brain-computer interface (BCI) based on steady state visual evoked potential (SSVEP) uuder data-linited condition.