HumanoPhilic Systems Laboratory conducts research on cyber-physical systems (CPS: Cyber-Physical Systems) that support human life, by combining various information technologies, such as sensing from the real world, data processing in the cloud, and networking that connects them. The term “HumanoPhilic” is the combination of “human” and “philic” which means having a high affinity.
We focus on human activity recognition using sensors (IoT) and machine learning (AI). Our research topics include both hardware development and software implementation. A major research issue is to explore what kind of sensors and algorithms can recognize the internal state (Emotions and stresses) as well as the external state of a person (physical action). Furthermore, in recent years, as novel research beyond human activity recognition, we started focusing on a behavior change support system (BCSS). BCSS means information technologies that affect human future behavior.
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The Main Research Topics
Wearable sensor-based psychological state estimation system and behavior change support system
Behavior Sensing and Feedback in Learning
A novel sensing mechanism for contextual information of real-world
Energy Harvest Sensing