在基于表面肌电信号(Surface electromyography, sEMG) 的意图识别研究领域,
目前大多数的研究主要集中在提高肌电识别的准确性方面. 然而, 在实际应用中, 基于sEMG …

Conventional muscle-machine interfaces like Electromyography (EMG), have significant
drawbacks, such as crosstalk, a non-linear relationship between the signal and the …

In sEMG (surface electromyography)-based recognition, most studies are currently focusing
on improving recognition accuracies. While in real applications, sEMG-based recognition …

To use surface electromyography (sEMG) signals for therapy and rehabilitation purposes,
we first need to tackle a fundamental problem which is the pattern recognition of these …

With the increased restrictions on physical distancing due to the COVID‐19 pandemic,
remote proctoring has emerged as an alternative to traditional onsite proctoring to ensure …

针对基于表面肌电(sEMG) 信号的中风患者运动意图识别率低的问题, 提出了一种高识别率且
适用于不同康复等级患者的手部运动意图识别方法. 首先, 使用30 名不同康复等级患者的表面肌 …

In the field of gesture recognition, A-mode ultrasound (AUS) and surface electromyography
(sEMG) exhibit distinct advantages and limitations. However, they synergistically …

Due to the complexity of fiber optic vibration signals, using traditional classification methods
to classify signals is inaccurate. Effective fiber optic sensor data classification has become …

Of all currently available active prosthetic technologies, myoelectric prostheses have the
greatest potential to improve quality of life in upper-limb amputees. These devices can …