Sentence examples for identification of tasks from inspiring English sources

Identification of tasks and estimation of volitional movement based on electromyography (EMG) constitute a known problem that involves different areas in the field of expert systems and particularly pattern recognition, with many possible applications in assistive and rehabilitation devices.

Task parallelism involves executing independent tasks directly in parallel while data parallelism requires the identification of tasks whose input can be fragmented in chunks and processed in parallel.

Formation of a technical working group committee (TWGC); Collection of pre-intervention baseline data and Identification of tasks/service components within the partnership, based on partners' diverse strengths.

Preparation phase Formation of a technical working group committee (TWGC); Collection of pre-intervention baseline data and Identification of tasks/service components within the partnership, based on partners' diverse strengths.

We developed and implemented the PPP model in three phases: Preparation phase Formation of a technical working group committee (TWGC); Collection of pre-intervention baseline data and Identification of tasks/service components within the partnership, based on partners' diverse strengths.

For many experimental paradigms, e.g., visuo-spatial attention paradigms, the identification of task-relevant positions is the only mandatory prerequisite.

A prefrontal positivity (P2a) was enhanced to instructed targets, but instruction only entered as an interactive factor on the posterior N2 at the same latency, suggesting interaction between frontal areas of evaluation and posterior areas of perceptual representation in identification of task-relevant stimuli.

In this study we demonstrated that Bayesian logistic regression allows identification of task relevant time-channel locations from the ERPs at the single trial level in single subjects.

The chapter also discusses the identification of interception tasks.

The emerging technology of high-density electromyography (HD-EMG) opens up new possibilities to extract neural information, and it has already been reported that the spatial distribution of HD-EMG intensity maps is a valuable feature in the identification of isometric tasks.

This will enable the identification of work tasks with excessive load.