61 citations · 62 across the 4 of their papers we have counts for
4 papers
Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography-Based Motion Prediction Using Sliding-Window Normalization
Taichi Tanaka, Isao Nambu, Yasuhiro Wada
Electromyography (EMG) signals are used in many applications, including prosthetic hands, assistive suits, and rehabilitation. Recent advances in motion estimation have improved pe…
Temporal convolutional neural networks to generate a head-related impulse response from one direction to another
Tatsuki Kobayashi, Yoshiko Maruyama, Isao Nambu +2
Virtual sound synthesis is a technology that allows users to perceive spatial sound through headphones or earphones. However, accurate virtual sound requires an individual head-rel…
Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography
Taichi Tanaka, Isao Nambu, Yoshiko Maruyama +1
Many researchers have used machine learning models to control artificial hands, walking aids, assistance suits, etc., using the biological signal of electromyography (EMG). The use…
Accuracy Enhancement for Ear Acoustic Authentication Using Between-class Features
Masaki Yasuhara, Isao Nambu, Yoshiko Maruyama +1
In existing biometric authentication methods, the user must perform an authentication operation such as placing a finger in a scanner or facing a camera. With ear acoustic authenti…