Ubiquitous computing systems utilize a lot of sensors and embedded/mobile devices in a harmonious manner and efficiently provide users with sophisticated services by recognizing contexts of real world. Our Lab., Ubiquitous Computing Systems Laboratory (UBI-Lab), led by Professor Keiichi Yasumoto at NAIST (Nara Institute of Science and Technology), focuses on various challenging issues in realizing ubiquitous computing systems.
Our laboratory aims to make our world smarter by information technology. To this aim, we are tackling various challenges in the following three areas: home, life, and city. To realize a smart home, we are developing activity recognition and context-aware systems by using sensors and machine learning in our smart home testbed built within the campus. Recently, we started a novel research on smart office based on behavior change in addition to activity recognition in office environments. Towards smart life, we develop novel sensors and unique wearable devices to improve our daily life, promote our wellness, and support sports. To accelerate smart city research, we focus on a participatory mobile sensing and tourist information curation. Our approach to all of the above challenges is composed of the three parts: sensing, analysis, and application, working as a system. We think it is important to acquire skills to develop cyber physical systems with a cycle of sensing, analysis and application.
Ubiquitous computing systems utilize a lot of sensors and embedded/mobile devices in a harmonious manner and efficiently provide users with sophisticated services by recognizing contexts of real world. Our Lab. conducts data collection, data analysis, application development, for solving the various challenging issues of real world. The main themes are as follows:
- Recognizing Living Activities in Smart Home using Sensor Devices
- Indoor Positioning System using Lighting Devices
- Elderly Monitoring System using BLE Devices
- E-Health Support for Calorie Control
- Estimating Heart Rate Variation during Walking
- Estimating Hunger Degree based on Meal and Exercise Logs
- Context-Aware Photography Support System based on Social Data Analysis
- Participatory Sensing Systems
- Internet-less Emergency Communication Systems