New Heuristics for Interfacing Human Motor System using Brain Waves

TL;DR

This paper introduces new heuristics for brain wave-based human-machine interfacing, combining head helmets and lumbar motion monitors to improve mind-to-movement systems.

Contribution

It proposes novel heuristics for interfacing human motor systems using brain waves, inspired by the Pied Piper story, integrating hardware and classification techniques.

Findings

Brain responses can distinguish knowledgeable from not knowledgeable subjects.

Probe stimulus is effective for classification during training.

The heuristics improve interfacing accuracy and responsiveness.

Abstract

There are many new forms of interfacing human users to machines. We persevere here electric mechanical form of interaction between human and machine. The emergence of brain-computer interface allows mind-to-movement systems. The story of the Pied Piper inspired us to devise some new heuristics for interfacing human motor system using brain waves by combining head helmet and LumbarMotionMonitor For the simulation we use java GridGain Brain responses of classified subjects during training indicates that Probe can be the best stimulus to rely on in distinguishing between knowledgeable and not knowledgeable