Tomoaki Shigemori

Papers

Total Citations

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About

Tomoaki Shigemori is a researcher focused on the intersection of human-computer interaction, assistive technology, and cognitive health assessment. His key research areas include dementia evaluation systems, conversational robotics, and feature extraction methods for clinical tests. Shigemori’s major contribution lies in developing non-invasive, technology-driven approaches to support early detection of cognitive decline. His most cited work, “Feature Extraction Method for Clock Drawing Test” (2015, 9 citations), proposes an automated system to analyze drawing patterns—a standard cognitive screening tool—using computational techniques. This work addresses the growing challenge of dementia in aging populations by aiming to make assessments more objective and scalable. Shigemori has also explored the use of conversational robots to evaluate dementia through daily interactions, though he acknowledges these systems are not yet ready for practical deployment. His research bridges robotics, machine learning, and gerontology, with a clear focus on real-world impact. While his citation count is modest, his work represents an important step toward integrating AI into clinical and home-based cognitive care.