activity
20172023
most citedDeep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

319 citations · 603 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2023★ 185 cited

A Survey of mmWave-based Human Sensing: Technology, Platform and Applications

Jia Zhang, Rui Xi, Yuan He +7

With the rapid development of the Internet of Things (IoT) and the rise of 5G communication networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts…

cs.HC2020★ 319 cited

Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities

Kaixuan Chen, Dalin Zhang, Lina Yao +3

The vast proliferation of sensor devices and Internet of Things enables the applications of sensor-based activity recognition. However, there exist substantial challenges that coul…

cs.HC2018★ 11 cited

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…

cs.HC2018★ 7 cited

Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks

Xiang Zhang, Lina Yao, Xianzhi Wang +3

Electroencephalography (EEG) signals reflect activities on certain brain areas. Effective classification of time-varying EEG signals is still challenging. First, EEG signal process…

cs.HC2017★ 81 cited

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…