It has been clinically proven that exoskeletons are effective self-training rehabilitation or
daily living assistance devices for patients with hand dysfunctions. However, exoskeleton …

Surface electromyography (sEMG) based gesture recognition has received broad attention
and application in rehabilitation areas for its direct and fine-grained sensing ability. sEMG …

Intent inferral, the process by which a robotic device predicts a user's intent from biosignals,
offers an effective and intuitive way to control wearable robots. Classical intent inferral …

We propose MetaEMG, a meta-learning approach for fast adaptation in intent inferral on a
robotic hand orthosis for stroke. One key challenge in machine learning for assistive and …

Intent inferral on a hand orthosis for stroke patients is challenging due to the difficulty of data
collection from impaired subjects. Additionally, EMG signals exhibit significant variations …

Increased effort during use of the paretic arm and hand can provoke involuntary abnormal
synergy patterns and amplify stiffness effects of muscle tone for individuals after stroke …

• Wearable robotic devices for the upper limb are currently being developed to enhance arm
and hand function for individuals with neurological conditions such as stroke and spinal cord …