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.
Sensing
This research track focuses on developing novel software sensors with consumer wearble hardware for measuring psychological and physiological states in free-living environments.
Subtrack 1-2: Wearable Brain Imaging
Subtrack 1-3: Mental States Sensing
Subtrack 1-4: Activity Recognition
Subtrack 1-5: Glucose Sensing
#sleepTracking #eyeTracking #glucoseSensing #depressionDetection #fNIRS #brainImaging #signalProcessing #machineLearning
Informatics
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 2-1: Quantified-Self Data Mining
Subtrack 2-2: Large-Scale Longitudinal Collection of QS Data
#personalInformatics #consumerInformatics #dataVisualization #dataMining #machineLearning #timeSeriesAnalysis
Interaction
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: Gamifying mHealth
Subtrack 3-2: mLearning App Development
Subtrack 3-3: Human-Computer Interaction in mHealth & mLearning
#appDevelopment #gamification #behaviorChangeTheory #mHealth #digitalHealth #HCI #soundTherapy #mobileLearning #nudge
NEWS
Dr. Liang was invited to serve as an Associate Chair (AC) for ACM CHI 2024 (Subcommittee: Health), a top conference in human-computer interaction. [2 June 2023]
Our following research proposal was accepted by the KUAS Overseas Collaboration Research Grant (PI: Dr. Zilu Liang, overseas collaborator: Dr. Edward Melcer / University of California, Santa Cruz, JPY 2,000,000, 2023-2024. When Smartwatch Meets Serious Games: Towards a New Paradigm of swHealth (SmartWatch Health) for Improving Sleep Hygiene. [11 May 2023]
Our following paper was published in the Proceedings of the 7th International Conference on Medical and Health Informatics, indexed by Scopus. Liang Z. (2023) Multiscale attention entropy (MSAE) of overnight pulse oximetry for assessing sleep apnea. [8 May 2023]
Our following research proposal was accepted by the JSPS Grant-in-Aid for Scientific Research (B)/科研費基盤研究(B) (PI: Prof. Hiroyuki Mitsuhara/University of Tokushima, Co-PIs: Prof. Hisashi Hatakeyama/Tokyo Institute of Technology, Dr. Kaede Kido/Nara Medical University, Dr. Zilu Liang, Amount: JPY 13,600,000, 2023-2028). 仮想と現実を密にリンクする避難訓練XRシステム (XR-based Evacuation Training Systems with Close Link Between Real and Virtual Environments) [1 April 2023]
Dr. Liang provided a demo lecture to girls from the Notre Dame High School. [13 March 2023]
Our following short paper will be published in the Proceedings of the 2023 General Conference of the Institute of Electronics, Information and Communication Engineers. [6 March 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 Feb 2023]
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]
Address
〒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
E-mail: ucpi.kuase[at]gmail.com