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.
Model, Algorithm
This research track focuses on developing novel computational models and algorithms with consumer wearbles for physical and mental health.
1.1 Wearable Sleep Health
1.2 Wearable Glucose Sensing & Prediction
1.3 Eye-Tracking & Pupillometrics
1.4 NLP/LLM-based Mental Disorder Screening
1.5 fNIRS Brain Imaging
#dataScience #modelling #sleepTracking #eyeTracking #glucoseSensing #depressionDetection #anxiety #fNIRS #brainImaging #signalProcessing #machineLearning #LLM #NLP #SNS #timeSeriesAnalysis #deepLearning #interpretability #fNIRS #temporalSpatial
System, Application
This research track focuses on developing novel IoT systems and applications to support a data-driven eco-system for desired behavior change.
2.1 Wearable Data Streaming Eco-system
2.2 Mobile Health (mHealth) App Development
#appDevelopment #Android #wearOS #Unity #googlePixelWatch #HR #games #labStreamingLayer #LSL #mHealth #digitalHealth
Interaction, Trial
This research track focuses on understanding how people interact with digital health technologies.
3.1 Co-design Serious Sleep Games
3.2 Human Voice as Therapy
#humanComputerInteraction #psychology #HCI #UI/UX #behaviorChangeTheory #gamification #nudge #digitalHealth #mHealth #mixedMethod #RTC #fieldTrial #thematicAnalysis #interviews
Internship Opportunity
We welcome interns from all our partner universities. For more information about internship projects provided by the Ubicomp Lab, please check the list of internship projects we offer for AY2025.
NEWS
Our following paper was accepted by JMIR Serious Games, indexed by PubMed, SCI, and Scopus. Liang Z, Melcer EF, Khotchasing K, Chen S, Hwang D, Hoang NH. Game On for Zzz’s: The Role of Relevance in Shaping Perceptions of Sleep Hygiene Games Among University Students. [23 Sep 2024]
Our master student Mr. Cleber Franca Carvalho received a Best Presentation Award at the 4th International Conference on Big Data and Computational Intelligence (BDCI 2024) for the presentation entitled "Glucose Prediction with Long Short-Term Memory (LSTM) Models". [14 Sep 2024]
Dr. Liang received a Best Presentation Award at the 6th World Symposium on Software Engineering (WSSE 2024) for the presentation entitled "Middleware Solution for Real-Time Physiological Data Streaming from Consumer Smartwatches". [14 Sep 2024]
Our following papers will be published in Proceedings of IEEE HealthCom 2024, indexed by SCI and Scopus. [18 Nov 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.
Priyadarshana YHPP, Liang Z, Piumarta I. (2024). Transferring Large Language Models for Depression Detection through Multi-Party Conversation Analysis.
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]
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]
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