Author: nique

Movement primitives are elementary motion units and can be combined sequentially or simultaneously to compose more complex movement sequences. A movement primitive timeseries consist of a sequence of motion phases. This progression through a set of motion phases can be modeled by Hidden Markov Models (HMMs). HMMs are stochastic processes that model time series data … Read More “JournalClub: Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications” »

Traditionally a Brain-Computer Interface (BCI) system uses Electroencephalogram (EEG) signals for communication and control applications. In recent years different biological signals are also combined with EEG signals to produce hybrid BCI devices to overcome the limitation of lower accuracy rates in BCI. This paper presents a new approach of combining EEG and Electromyogram (EMG) signals … Read More “JournalClub: EEG-EMG based Hybrid Brain Computer Interface for Triggering Hand Exoskeleton for Neuro-Rehabilitation” »

One of the primary ways we interact with the world is using our hands. In macaques, the circuitspanning the anterior intraparietal area, the hand area of the ventral premotor cortex, and the primarymotor cortex is necessary for transforming visual information into grasping movements. Wehypothesized that a recurrent neural network mimicking the multi-area structure of the … Read More “JournalClub: A neural network model of flexible grasp movement generation” »