Ubiquitous Computing Systems
In our laboratory, we set three target areas and promote research, aiming to make our society smarter toward Society 5.0 through cyber physical system (CPS) technologies which link the real world and the cyber world. In “Smart Home” area, we conduct research on recognition and prediction of activities of daily living as well as intelligent home appliance control utilizing sensors and machine learning in the smart home testbed with a living room, a bedroom, a kitchen, a bathroom in the university. In “Smart Life” area, we are working on research to measure and improve the degree of physical and mental health in everyday life and sports using smartphone applications and wearable devices. In “Smart City” area, targeting tourism, we conduct research on efficient participatory information collection utilizing federated learning and gamification mechanisms, an edge-based IoT platform, and curation which creates valuable information by selecting and summarizing the collected information. Furthermore, to realize smart offices for improving productivity, we are conducting research on behavior change in addition to various context recognition during work. All research activities are conducted over three technical areas: “data collection from real world” using sensors and IoT devices, “data analysis” using machine learning and AI technologies, and “feedback of analysis results” such as applications and services. We strive to make every outcome of research work as a system including hardware and software implementations.
To realize a comfortable, energy-efficient, and secure smart home of the future, we have built an actual house on campus, with bath and other amenities, and are conducting various cutting-edge studies, including the development of new sensors, sensor-based activities of daily living (ADL) recognition, home appliance coordination, and monitoring of the elderly. We are also developing a smart home kit not requiring a power supply or communication wiring, in consideration of its widespread use in ordinary homes. Moreover, we are challenging controlling home appliances in accordance with residents' schedules and feelings. Based on the research results, we are also actively taking on new challenges, such as cyber-physical remote space sharing for with/post-COVID19 era.
- Recognizing and predicting daily living activities
- Elderly monitoring and anomaly detection systems
- Energy-aware smart appliance control
- Context-aware smart home services
- Easy-to-deploy and user-friendly smart home kit
We try to recognize the physical and mental states and their changes associated with various activities people engage in (daily life, office work, sports, etc.) and to induce behavior changes that improve QoL (quality of life). In addition to smartphones and wearable devices, we are developing tailor-made IoT with sensors and actuators embedded in everyday items (chopsticks that recognize eating behavior, bamboo swords that recognize striking movements, etc.). We are also working on a new study of IoT nudges, which, e.g., induce healthier eating behavior (slow and full eating) by reflecting the type of food eaten and eating speed (acquired by IoT chopstics) in real time on IoT paintings.
- Sport/exercise/workout sensing and coaching
- Estimation of physiological and mental health status
- Smart office for improving work-engagement
- Human-computer interaction based on Tailor-made IoT
- IoT nudge for health behavior change
To realize a sustainable society, we study technologies for sensing/analyzing/feeding back the state of towns and society. In particular, we focus on participatory sensing asking people to do sensing, tourism video curation to create personalized videos, car sharing systems to induce behavior change and efficient operation, social sensing to extract useful knowledge from social media, and BLE-based congestion sensing, etc. We are researching a wide range of technologies necessary to realize a future society, including mechanisms for continuous cooperation (e.g., nudge, gamification), distributed sensor data processing , and sensing and communication methods for disaster situations.
- Participatory sensing systems
- Behavior change for smart community
- Automatic video curation for smart tourism
- IoT platform based on Edge/fog computing
- Federated learning for sightseeing objects/scenes recognition