319 citations · 434 across the 8 of their papers we have counts for
8 papers
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…
Multi-agent Attentional Activity Recognition
Kaixuan Chen, Lina Yao, Dalin Zhang +2
Multi-modality is an important feature of sensor based activity recognition. In this work, we consider two inherent characteristics of human activities, the spatially-temporally va…
Inner-Imaging Networks: Put Lenses into Convolutional Structure
Yang Hu, Guihua Wen, Mingnan Luo +4
Despite the tremendous success in computer vision, deep convolutional networks suffer from serious computation costs and redundancies. Although previous works address this issue by…
Metabolize Neural Network
Dan Dai, Zhiwen Yu, Yang Hu +2
The metabolism of cells is the most basic and important part of human function. Neural networks in deep learning stem from neuronal activity. It is self-evident that the significan…
Competitive Inner-Imaging Squeeze and Excitation for Residual Network
Yang Hu, Guihua Wen, Mingnan Luo +3
Residual networks, which use a residual unit to supplement the identity mappings, enable very deep convolutional architecture to operate well, however, the residual architecture ha…
Automatic construction of Chinese herbal prescription from tongue image via CNNs and auxiliary latent therapy topics
Yang Hu, Guihua Wen, Huiqiang Liao +3
The tongue image provides important physical information of humans. It is of great importance for diagnoses and treatments in clinical medicine. Herbal prescriptions are simple, no…
Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition
Kaixuan Chen, Lina Yao, Tao Gu +3
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…
FreeSense:Indoor Human Identification with WiFi Signals
Tong Xin, Bin Guo, Zhu Wang +2
Human identification plays an important role in human-computer interaction. There have been numerous methods proposed for human identification (e.g., face recognition, gait recogni…