Multimodal Human-Exoskeleton Interface for Lower Limb Movement Prediction Through a Dense Co-Attention Symmetric Mechanism.

A challenging task for the biological neural signal-based human-exoskeleton interface is to achieve accurate lower limb movement prediction of patients with hemiplegia in rehabilitation training scenarios. The human-exoskeleton interface based on single-modal biological signals such as electroencephalogram (EEG) is currently not mature in predicting movements, due to its unreliability. The multimodal human-exoskeleton interface is a very novel solution to this problem.

Identification of parallel medicinal chemistry protocols to expand branched amine design space.

α-Branched heteroaryl amines are prevalent motifs in drugs and are typically prepared through C-N bond formation. In contrast, C-C bond-forming approaches to branched amines may dramatically expand available chemical space but are rarely pursued in parallel format due to a lack of established library protocols. Methods for the synthesis of α-branched heteroaryl amines aldimine addition have been evaluated for compatibility with parallel synthesis.

Channel Synergy-based Human-Robot Interface for a Lower Limb Walking Assistance Exoskeleton.

The human-robot interface (HRI) based on surface electromyography(sEMG) can realize the natural interaction between human and robot. It has been widely used in exoskeleton robots recently to help predict the wearer's movement. The sEMG signal of the paraplegic patients' lower limbs is weak.

MCSNet: Channel Synergy-Based Human-Exoskeleton Interface With Surface Electromyogram.

The human-robot interface (HRI) based on biological signals can realize the natural interaction between human and robot. It has been widely used in exoskeleton robots recently to help predict the wearer's movement. Surface electromyography (sEMG)-based HRI has mature applications on the exoskeleton.

Data-Driven Optimal Assistance Control of a Lower Limb Exoskeleton for Hemiplegic Patients.

More recently, lower limb exoskeletons (LLE) have gained considerable interests in strength augmentation, rehabilitation, and walking assistance scenarios. For walking assistance, the LLE is expected to control the affected leg to track the unaffected leg's motion naturally. A critical issue in this scenario is that the exoskeleton system needs to deal with unpredictable disturbance from the patient, and the controller has the ability to adapt to different wearers.