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Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis
Xiang Zhang, Lina Yao, Dalin Zhang +3
An electroencephalography (EEG) based brain activity recognition is a fundamental field of study for a number of significant applications such as intention prediction, appliance co…
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
Xiang Zhang, Lina Yao, Quan Z. Sheng +3
An electroencephalography (EEG) based Brain Computer Interface (BCI) enables people to communicate with the outside world by interpreting the EEG signals of their brains to interac…
From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth
Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang +2
Truth discovery has been widely studied in recent years as a fundamental means for resolving the conflicts in multi-source data. Although many truth discovery methods have been pro…
SmartMTD: A Graph-Based Approach for Effective Multi-Truth Discovery
Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang +1
The Big Data era features a huge amount of data that are contributed by numerous sources and used by many critical data-driven applications. Due to the varying reliability of sourc…
DeepKey: An EEG and Gait Based Dual-Authentication System
Xiang Zhang, Lina Yao, Chaoran Huang +3
Biometric authentication involves various technologies to identify individuals by exploiting their unique, measurable physiological and behavioral characteristics. However, traditi…
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks
Xiang Zhang, Lina Yao, Chaoran Huang +2
Electroencephalography (EEG) signal based intent recognition has recently attracted much attention in both academia and industries, due to helping the elderly or motor-disabled peo…