814 citations · 4.1k across the 101 of their papers we have counts for
5 papers · 1 filter
Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding
Xiang Zhang, Lina Yao, Chaoran Huang +3
Electroencephalography (EEG) signals are known to manifest differential patterns when individuals visually concentrate on different objects. In this work, we present an end-to-end…
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
Xiang Zhang, Lina Yao, Shuai Zhang +3
A Brain-Computer Interface (BCI) acquires brain signals, analyzes and translates them into commands that are relayed to actuation devices for carrying out desired actions. With the…
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network
Xiang Zhang, Lina Yao, Salil S. Kanhere +3
Person identification technology recognizes individuals by exploiting their unique, measurable physiological and behavioral characteristics. However, the state-of-the-art person id…
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…
SenseFlow: An Experimental Study for Tracking People
Kai Li, Chau Yuen, Salil S. Kanhere +4
The main challenges in large-scale people tracking are the recognition of people density in a specific area and tracking the people flow path. To address these challenges, we prese…