Kaori Tamura
Papers
1
Total Citations
2
H-Index
1
About
Kaori Tamura is a researcher at the forefront of human-machine interaction, specializing in the integration of biosignal processing and wearable robotics. Her work focuses on decoding human intent through non-invasive physiological signals, particularly electromyography (EMG) and electroencephalography (EEG), to enable intuitive control of assistive devices. In her most cited work, "Estimation of user's hand motion based on EMG and EEG signals" (2014), Tamura addresses a critical challenge in wearable robotics: the unreliability of EMG signals for all users. By pioneering a multimodal approach that combines EMG with EEG—brain signals that have recently gained attention for robotic control—she demonstrates how neural activity can compensate for muscular signal limitations. This contribution lays the groundwork for more inclusive and robust prosthetic and exoskeleton systems, ensuring that individuals with varying degrees of muscle function can benefit from assistive technology. Though her citation count is modest, Tamura's work represents an important step toward seamless, brain-machine interfaces that adapt to diverse user needs.
Research Focus
Key Achievements
Top Papers
- 1Estimation of user's hand motion based on EMG and EEG signals2 citations · 2014