In recent years, almost all digital systems have operated in synchronization with the clock pulse. However, high-frequency clock pulses not only increase the power consumption but also cause instability in the system. In our laboratory, we are working on the applications of an asynchronous circuit without clock pulses, for example, improving the performance of large-scale digital systems and reducing the power consumption of biometric signal processors. The proposed architectures are designed and implemented in the reconfigurable programmable gate array (FPGA), and we are also working on the FPGA-based image processing accelerator for surveillance camera systems and medical diagnostic imaging systems.

We propose a high-performance computer system called a Hybrid-Cluster and are conducting applied research. It provides a common framework for easy cooperation between computers and consumer electronic devices, such as controlling consumer electronic devices from computers and vice versa. In addition, in the field of educational technology, we are working on practical education, such as efforts to increase students’ self-study time and team development of software in lectures.

Global motion in images arises with video camera movement. Estimation of global motion is required for image stabilization, image coding, moving object detection, and so on. We develop a fast and accurate method to estimate global motion from an image sequence that contains moving objects (local motion).

We are developing “sensors that collect information” necessary for patients to receive treatment with peace of mind.
For example, a ventilator used by patients with lung diseases at home is an indispensable medical device. We are developing sensors based on our own ideas to provide patients with more secure treatment using such ventilators.