81 citations · 151 across the 10 of their papers we have counts for
10 papers
Crowdsourced Smartphone Sensing for Localization in Metro Trains
Haibo Ye, Tao Gu, Xianping Tao +1
Traditional fingerprint based localization techniques mainly rely on infrastructure support such as RFID, Wi-Fi or GPS. They operate by war-driving the entire space which is both t…
Toward a Wearable RFID System for Real-Time Activity Recognition Using Radio Patterns
Liang Wang, Tao Gu, Xianping Tao +1
Elderly care is one of the many applications supported by real-time activity recognition systems. Traditional approaches use cameras, body sensor networks, or radio patterns from v…
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
Yu Zhang, Tao Gu, Xi Zhang
Personal mobile sensing is fast permeating our daily lives to enable activity monitoring, healthcare and rehabilitation. Combined with deep learning, these applications have achiev…
Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling
Kaixuan Chen, Lina Yao, Xianzhi Wang +4
Multimodal features play a key role in wearable sensor-based human activity recognition (HAR). Selecting the most salient features adaptively is a promising way to maximize the eff…
Enabling Multiple Access for Non-Line-of-Sight Light-to-Camera Communications
Fan Yang, Shining Li, Zhe Yang +2
Light-to-Camera Communications (LCC) have emerged as a new wireless communication technology with great potential to benefit a broad range of applications. However, the existing LC…
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…
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…
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…
3D Wireless: Modeling Wireless Performance by Combining Spatial and Temporal Behaviors
Zhiwei Zhao, Wei Dong, Jie Yu +2
Performance characterization is a fundamental issue in wireless networks for real time routing, wireless network simulation, and etc. There are four basic wireless operations that…