Ubiquitous and Personal Computing Lab
Faculty of Engineering, Kyoto University of Advanced Science (KUAS), Japan
#Quantified-Self #consumerWearables #softwareCentered #digitalHealth #digitalEducation #predictiveModelling #signalProcessing #dataMining #humanComputerInteraction
Computing for Anyone, at Anytime, Anywhere
We research, develop and validate novel computing technologies to improve health, productivity, and well-being of individuals.
Devoted to creating computing technologies that can be used anytime, anywhere, by anyone, we envision a world where everyone is able to design and conduct self-experiments to test their personal hypothesis, to gain a better understanding into the-self, and to maximize their potential.
This research track focuses on developing novel software sensors with consumer wearble hardware for measuring psychological and physiological states in free-living environments.
#sleepTracking #eyeTracking #glucoseSensing #depressionDetection #fNIRS #brainImaging #signalProcessing #machineLearning
This research track focuses on developing novel analytical and predictive modelling methods for gaining insights into the quantified-self data collected using off-the-shelf consumer wearables.
Subtrack 2-2: Large-Scale Longitudinal Collection of QS Data
#personalInformatics #consumerInformatics #dataVisualization #dataMining #machineLearning #timeSeriesAnalysis
This research track focuses on designing and developing software applications (mobile apps, smartwatch apps, web apps) to engineer people's behavior towards better health, productivity and wellbeing.
Subtrack 3-1: mHealth App Development
Subtrack 3-2: mLearning App Development
Subtrack 3-3: Human-Computer Interaction in mHealth & mLearning
#appDevelopment #gamification #behaviorChangeTheory #mHealth #digitalHealth #HCI #soundTherapy #mobileLearning #nudge
Our following short paper will be published in the Proceedings of the 2023 General Conference of the Institute of Electronics, Information and Communication Engineers. [2 Feb 2023]
- Nhung H. H., Liang Z. (2023) Identifying Patterns in Continuous Glucose Monitoring Data using Contrast Set Mining.
- Liang Z. (2023) Gamifying Digital Signal Processing Learning with Kahoot! Quiz.
Our following paper will be published in the Proceedings of the 16th International Conference on Health Informatics, indexed by SCI and Scopus. Nhung H. H., Liang Z. (2023) Contrast set mining for actionable insights into associations between sleep and glucose in a normoglycemic population. [23 Dec 2022]
Dr. Liang gave a planary talk entitled "Ubiquitous and personal computing for health and wellbeing" at the International Seminar on Machine Learning, Optimization, and Data Science held in Indonesia. [22 Dec 2022]
Our master student Ms Hoàng Huyền Nhung won an Honorable Mention Award of the 2022 IEEE CIS Student Hackathon on Computational Intelligence in Biomedicine and Healthcare, with the following project "Inertial Measurement Unit (IMU) sensor wearable device with a smartphone application for Parkinson’s disease falls prevention". [6 Dec 2022]
Our following full paper will be published in the Proceedings of the 2022 IEEE Conference on Teaching, Assessment, and Learning for Engineering, indexed by Scopus. Liang Z. (2022) Contextualizing introductory app development course for first-year engineering students. [6 Dec 2022]
Our following full paper was published in Frontiers in Medical Technology (Section: Medtech Data Analytics), index by PubMed. Liang Z. (2022) Mining associations between glycemic variability in awake-time and in-sleep among non-diabetic adults. [4 Nov 2022]
A big welcome to Ms Alena Lukovnikova and Ms Hannah Jayne, two exchange students from the Department of Mechanical and Biomedical Engineering, Worcester Polytechnic Institute (WPI), USA. They will stay at KUAS from October to December to work on a research project about sleep apnea detection with consumer wearable technologies. [25 Oct 2022]
Our following full paper was published in Electronics, indexed by SCI and Scopus. Liang Z. (2022) Context-aware sleep health recommender systems (CASHRS): a narrative review. [19 Oct 2022]
Our following short paper was published in the Proceedings of the 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022), indexed by SCI and Scopus. Tanaka D., Tanaka J., Ikuru K., Liang Z., Piumarta I. (2022) AkiKomi: Design and Implementation of a Mobile App System for Real-Time Room Occupancy Estimation. [18 Oct 2022]
Our following preprint is available in JMIR Preprint. Nhung, H. H., Liang Z. (2022) Knowledge discovery in ubiquitous and personal sleep-tracking: a scoping review. [26 Sep 2022]
〒615-8577 京都市右京区山ノ内五反田町18番地 南館工学部5階研究室508
South Building F5-508, Faculty of Engineering
Kyoto University of Advanced Science (KUAS)
18 Yamanouchi Gotanda-cho, Ukyo-ku, Kyoto 615-8577, Japan