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Human sensorial modalities are inherently limited, as is our cognitive capacity to process information gathered by the senses. Technologically mediated sensory manipulation, if properly implemented, can alter perception or even generate completely new forms of perception. At a practical level, it can improve the efficiency of (low or high level) recognition tasks such as behaviour recognition, as well as improve human-to-human interaction. Such enhancements of perception and increased behavior recognition also allow for the design of novel interfaces to incude active interactions. The problems of human perception and machine perception are reciprocally related; machine perception has its own limitations but can be trained to recognize self-perception, social perceptions, and emotional expressions.

Active Perception is an umbrella term for the theory and research practice concerned with the capture and manipulation of information that is normally inaccessible to humans and machines. In doing so, we hope to create new ways of perceiving the world and interacting with technology, and activeness of both humans and machines will be enable to be available. Our group is not only concerned with intelligent sensors and systems technology, but also augmented reality, human-computer interaction, media art, neurophysiology, perspectives, civil engineering from fields such as ethics and computer-supported cooperative-work. Combining techniques we aim to integrate human and machine perception and as a consequence create a new interdisciplinary research area.

Research Topics

Meta-Displays & Meta-Spaces

Tracking & expression interfaces

Active sensing & its application

Sports Training Supportive System

Augmented Sensing

Research in the past

Ishikawa Watanabe Laboratory, Department of Information Physics and Computing, Department of Creative Informatics,
Graduate School of Information Science and Technology, University of Tokyo
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