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 paper will be published in the Proceedings of the 31st International Conference on Computers in Education (ICCE 2023), indexed by Scopus. Liang Z. (2023) Enhancing Learning Experience in University Engineering Classes with Kahoot! Quiz Games. [4 Dec 2023]
Our following paper will be published in the Proceedings of the 2023 International Conference on Teaching, Assessment and Learning for Engineering (TALE 2023), indexed by Web of Science and Scopus. Liang Z. (2023) Comparing Attitudes Towards Mobile App Development between International Students and Domestic Japanese Students. [27 Nov 2023]
Our following paper will be published in the Proceedings of the 19th International Conference on Web Information Systems and Technologies (WEBIST 2023), indexed by Scopus. Yapa H. P. P. P., Liang Z, Piumarta I. (2023) Who Says What (WSW): A Novel Model for Utterance-Aware Speaker Identification in Text-Based Multi-Party Conversations. [15 Nov 2023]
Our following paper will be published in the Proceedings of 7th the International Conference on Computer-Human Interaction Research and Applications (CHIRA), indexed by Scopus. Del Valle A, Liang Z, Piumarta I. (2023) A bi-national investigation of the needs of visually disabled people from Mexico and Japan. [15 Nov 2023]
Our following paper will be published in the Proceedings of the 12th Global Conference on Consumer Electronics (GCCE 2023) [10 Oct 2023]
Liang Z. (2023) Developing Sleep Apnea Screening Models Compatible With Low-Resolution SpO2 Data
Jayen H, Lukovnikova A, Nhung HH, Liang Z. (2023) Mining Contrast Rules in a Sleep Apnea Dataset
Our following submissions were accepted to present at the 48th Annual Meeting of Japanese Society of Sleep Research. [15 Sep 2023]
Nhung HH, Jayen H, Lukovnikova A, Liang Z. (2023) Beyond Statistical Analysis: Identifying Meaningful Patterns in Sleep Apnea Dataset using Contrast Set Mining.
Khotchasing K, Nhung HH, Liang Z. (2023) Design and Development of Gamification mHealth Application for Sleep Hygiene Intervention.
Liang Z. (2023) Machine Learning based Sleep Apnea Screening with Overnight SpO2 Recordings.
We organized two co-design workshop to prototype a smartwatch serious games app for sleep health. The workshops were coordinated by Prof. Edward Melcer and Dr. Liang. Thank you everyone for your participation! It was a blast. [7 Sep 2023]
Welcome a new PhD student Nhung Huyen HOANG and a new master student Cleber CARVALHO. [6 Sep 2023]
Congradulations to View and Pana for obtaining their master's degree! Well done! [6 Sep 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