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 was accepted by Frontiers in Digital Health (Q2), indexed by PubMed, SCI, and Scopus. Liang Z, Melcer E, Khotchasing K, Hoang HN. (2024) Co-design Personal Sleep Health Technology for and with University Students. [28 March 2024]
Our following proposal was selected as one of the finals in the 2024 IEEE CIS Student Grand Competition. Yapa H. P. P. P. (2024) Vishadha: Early Smart Depression Detector. [25 March 2024]
Our following paper will be published in the Proceedings of The International Joint Conference on Neural Networks (IJCNN). Yapa H. P. P. P., Liang Z, Piumarta I. (2024) ProDepDet: Out-Of-Domain Knowledge Transfer of Pre-Trained Large Language Models for Depression Detection in Text-Based Multi-Party Conversations. [16 March 2024]
We will present the following work at the 12th International Conference on Information and Education Technology (ICIET 2024). Liang Z. (2024) Analysis of Students’ Response Time and Performance in Kahoot! Quiz Games in a University Engineering Course. [18 March 2024]
Our following short paper was published in the Proceedings of the 2024 General Conference of the Institute of Electronics, Information and Communication Engineers. [6 March 2024]
Kosasih K. K., Liang Z. (2024) Predicting heart rate from pupilometric data.
Kosasih K. K. (2024) A multi modal dataset of eye tracking and other physiologlcal measures.
Our following papers were published in the Proceedings of the 17th International Conference on Health Informatics (HEALTHINF 2024). [23 Feb 2024]
Hoang HN, Liang Z. (2024) Apnea hypopnea index estimation from low-granularity overnight oxymetry data.
Hoang HN, Khotchasing K, Melcer E, Liang Z. (2024) Serious gamification app for improving sleep-wake cycle and sleep education.
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]
Dr. Liang gave a lecture on data analytics for wearable technology in the MS&AD Digital College from Kyoto, a customized employee training and development program for the MS&AD Insurance Group. [15 Jan 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]
Our following paper was published in the Proceedings of the 19th International Conference on Web Information Systems and Technologies (WEBIST 2023), full paper acceptance rate = 25%, 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. This paper received a Best Paper Award (= top 1%) [15 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