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
Our following papers will be published in Proceedings of IEEE HealthCom 2024, indexed by SCI and Scopus. [30 Aug 2024]
Karunarathna T, Liang Z. (2024) Physiological Signal Based Blood Glucose Prediction in Diabetics and Non-Diabetics.
Hoang HN, Liang Z. (2024) Wearable-Friendly Apnea Severity Classification.
Our following paper was accepted by Sleep and Breathing, indexed by PubMed, SCI, and Scopus. Liang Z. (2024) Developing Probabilistic Ensemble Machine Learning Models for Home-Based Sleep Apnea Screening using Overnight SpO2 Data at Varying Data Granularity. [14 Aug 2024]
Our PhD student Mr. Yapa Prasan won an Honorable Mention Award at the 2024 IEEE CIS Student Grand Competition in Computational Intelligence in Biomedicine and Healthcare, with the following project Vishadha: Early Smart Depression Detector . [30 June 2024]
We held open lab events for visitors from Thailand (high school students and teachers), Indonesia (high school students and teachers), Vietnam (high school students and teachers), US (undergraduate students from Ohio State University), and Brazil (members of SEMESP). [April - June 2024]
Dr. Liang was invited to serve as an Associate Chair (AC) for the ACM CHI 2025 (Subcommittee: Health), a premier conference in the field of human-computer interaction. [31 May 2024]
Our following paper was accepted in Frontiers in Education, indexed by SCI and Scopus. Liang Z. (2024) More Haste, Less Speed?: Relationship between Response Time and Response Accuracy in Gamified Online Quizzes in an Undergraduate Engineering Course. [3 June 2024]
Our following paper was accepted in Frontiers in Digital Health, indexed by PubMed, SCI, and Scopus. Priyadarshana YHPP, Senanayake A, Liang Z, Piumarta I. (2024) Prompt Engineering for Digital Mental Health: A Short Review. [28 May 2024]
Dr. Liang provided a lecture entitled "薬ではない“薬”～デジタル健康の最前線～ (“Medicine” that is not a medicine ~frontiers of digital health~ )" on YumeNavi video stream platform to promote our research among high school students.
Dr. Liang and Mr. Yapa gave an invited talk at the Language & Semantic Technology Research Team (LST), Artificial Intelligence Research Unit (AINRU), National Electronic & Computer Technology Center (NECTEC), Thailand. From smartwatches to social network services: digitalize health with ubiquitous and personal computing technologies. [18 Feb 2024]
We organized a co-design workshop Gamified Smartwatch for Sleep Health Workshop, which was facilitated by Prof. Edward Melcer and was attended by 47 students. This workshop was a follow-up of the three co-design workshops that we had during the summer and fall of 2023 and aimed to further explore the interdisciplinary research field at the intersection of gamification, digital health, and human-computer interaction. Instagram / Facebook [22 Nov 2023]
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