22 citations · 56 across the 15 of their papers we have counts for
8 papers · 1 filter
RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree
Qingyang Li, Zhiwen Yu, Lina Yao +1
Identity recognition plays an important role in ensuring security in our daily life. Biometric-based (especially activity-based) approaches are favored due to their fidelity, unive…
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…
From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data
Bin Guo, Huihui Chen, Yan Liu +3
With the development of mobile social networks, more and more crowdsourced data are generated on the Web or collected from real-world sensing. The fragment, heterogeneous, and nois…
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…
HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing
Jiangtao Wang, Feng Wang, Yasha Wang +5
Task allocation is a major challenge in Mobile Crowd Sensing (MCS). While previous task allocation approaches follow either the opportunistic or participatory mode, this paper prop…
CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data
Yi Ouyang, Bin Guo, Xinjiang Lu +3
In recent years, bike-sharing systems have been deployed in many cities, which provide an economical lifestyle. With the prevalence of bike-sharing systems, a lot of companies join…