Keita Nakahara

Papers

Total Citations

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About

Keita Nakahara is a researcher focused on the intersection of robotics, human activity recognition, and assistive technologies for aging populations. His most cited work, "In-home Activity and Micro-motion Logging Using Mobile Robot with Kinect" (2016), introduces a novel method for capturing and logging the subtle, micro-movements of elderly individuals during daily life. By leveraging a mobile robot equipped with Kinect-based skeleton recognition, Nakahara proposes a scalable, non-intrusive solution for monitoring in-home activities—a critical need as mobile robots become more common in households. Though his citation count is modest, his work addresses a forward-looking challenge: enabling home robots to autonomously track and analyze human motion for health and safety applications. This contribution underscores his commitment to developing practical, human-centered robotics that support independent living for seniors. Nakahara’s research bridges robotics, computer vision, and gerontechnology, offering a foundation for future smart home systems that can proactively care for aging populations.