activity
20152020
most citedConverting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals

10 citations · 14 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CY2020

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…

cs.OH2020

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…

cs.LG20201 cited

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…

cs.HC2018

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…

cs.ET2018

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…

cs.HC20173 cited

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…