Zilu Liang
Zilu Liang
Associate Professor, Faculty of Engineering, Kyoto University of Advanced Science
Verified email at - Homepage
Cited by
Cited by
Validity of consumer activity wristbands and wearable EEG for measuring overall sleep parameters and sleep structure in free-living conditions
Z Liang, MA Chapa-Martell
Journal of Healthcare Informatics Research 2 (1-2), 152-178, 2018
SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors
Z Liang, B Ploderer, W Liu, Y Nagata, J Bailey, L Kulik, Y Li
Personal and Ubiquitous Computing 20, 985-1000, 2016
Real-time urban traffic amount prediction models for dynamic route guidance systems
Z Liang, Y Wakahara
EURASIP Journal on Wireless Communications and Networking 2014, 1-13, 2014
Accuracy of Fitbit Wristbands in Measuring Sleep Stage Transitions and The Effect of User-Specific Factors
Z Liang, MA Chapa-Martell
JMIR mHealth uHealth, 2019
Sleep tracking in the real world: a qualitative study into barriers for improving sleep
Z Liang, B Ploderer
Proceedings of the 28th Australian Conference on Computer-Human Interaction …, 2016
Antioxidant action and protective and reparative effects of lentinan on oxidative damage in HaCaT cells
Y Zi, B Zhang, B Jiang, X Yang, Z Liang, W Liu, C He, L Liu
Journal of Cosmetic Dermatology 17 (6), 1108-1114, 2018
City traffic prediction based on real-time traffic information for intelligent transport systems
Z Liang, Y Wakahara
2013 13th international conference on ITS telecommunications (ITST), 378-383, 2013
A Multi-level Classification Approach for Sleep Stage Prediction with Processed Data Derived from Consumer Wearable Activity Trackers
Z Liang, MA Chapa-Martell
Frontiers in Digital Health 3, 49, 2021
Injectable microfluidic hydrogel microspheres based on chitosan and poly (ethylene glycol) diacrylate (PEGDA) as chondrocyte carriers
L Lin, Y Wang, L Wang, J Pan, Y Xu, S Li, D Huang, J Chen, Z Liang, ...
Rsc Advances 10 (65), 39662-39672, 2020
A personalized approach for detecting unusual sleep from time series sleep-tracking data
Z Liang, MAC Martell, T Nishimura
2016 IEEE International Conference on Healthcare Informatics (ICHI), 18-23, 2016
"How does Fitbit measure brainwaves": a qualitative study into the credibility of sleep-tracking technologies
Z Liang, B Ploderer
Proc ACM Interact Mob Wearable Ubiquitous Technol (IMWUT) 4 (1), Article 17, 2020
Washing away your sins in the brain: physical cleaning and priming of cleaning recruit different brain networks after moral threat
H Tang, X Lu, R Su, Z Liang, X Mai, C Liu
Social cognitive and affective neuroscience 12 (7), 1149-1158, 2017
Framing Self-quantification for Individual-level Preventive Health Care
Z Liang, MA Chapa-Martell
HEALTHINF 2015, 336-343, 2015
Opportunities for Improving the Learning/Teaching Experience in a Virtual Online Environment
Z Liang, I Piumarta, MG Da Costa Junior
IEEE Conference on Teaching, Assessment, and Learning for Engineering (TALE …, 2020
Is Fitbit fit for sleep-tracking? Sources of measurement errors and proposed countermeasures
Z Liang, B Ploderer, MA Chapa-Martell
Proceedings of the 11th EAI International Conference on Pervasive Computing …, 2017
Combining resampling and machine learning to improve sleep-wake detection of Fitbit wristbands
Z Liang, MA Chapa-Martell
2019 IEEE international conference on healthcare informatics (ICHI), 1-3, 2019
Are Wearable EEG Devices More Accurate than Fitness Wristbands for Home Sleep Tracking?
Z Liang, T Nishimura
A Quantified-Self Framework for Exploring and Enhancing Personal Productivity
G White, Z Liang, S Clarke
Proc of CBMI 19, 2019
Mining hidden correlations between sleep and lifestyle factors from quantified-self data
Z Liang, MAC Martell, T Nishimura
Proceedings of the 2016 ACM international joint conference on pervasive and …, 2016
Developing mHealth app for tracking academic stress and physiological reactions to stress
Z Liang, O Tatha, LE Andersen
Proceeding of The 2020 IEEE 2nd Global Conference on Life Sciences and …, 2020
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