Makoto Hosoda

Papers

Total Citations

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About

Makoto Hosoda is a researcher at the forefront of assistive technology and human-robot interaction, with a specialized focus on communication systems for individuals with sensory impairments. His most cited work, "Communicating with Humans and Robots: A Motion Tracking Data Glove for Enhanced Support of Deafblind" (2022), introduces a groundbreaking data glove that achieves high-fidelity finger posture tracking to decode the Malossi alphabet—a tactile sign language used by the deafblind community. This innovation enables seamless communication between deafblind individuals, human interlocutors, and robots, bridging critical gaps in accessibility. With 5 citations, this paper has already garnered attention for its practical impact, offering a low-cost, real-time solution for a historically underserved population. Hosoda’s contributions extend beyond hardware design, integrating machine learning for gesture recognition and user-centered design principles. His work exemplifies how robotics and wearable technology can foster inclusivity, making him a notable figure in assistive robotics. For students and researchers, Hosoda’s research demonstrates the transformative power of engineering when applied to social challenges, inspiring future innovations in human-robot communication and disability support.