The performance of adaptive classification algorithms has not been fully verified in BCI systems based on visual evoked potentials. In this study, an unsupervised adaptive algorithm framework for ...

Abstract: Accuracy and speed have been two fundamental issues that are difficult to balance in object tracking. Trackers with high accuracy often have quite large network structures that require huge ...

Sensorimotor therapy gives optimal results when patients are cognitively engaged into highly repetitive tasks, a goal that most children find hard to pursue. This paper presents the key developments ...

An MIT professor has developed an algorithm that relies on monitoring the speed and distance of vehicles traveling in front and behind that could be applied to a modified Adaptive Cruise Control ...

Soon, round-the-clock Parkinson’s care Since coming to UCSF in 2019, Little has continued to developed and test even newer aDBS algorithms for treating motor symptoms like stiffness and tremors as ...