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Human Gesture Recognition (HGR) - Coggle Diagram
Human Gesture Recognition (HGR)
Future Works
Integration of Various Sensors
Verified more combination methods of sensors by experiments for a better RA
Look for New Features
explore more of the features with higher degree of correlation.
Develop New Algorithms
through all the comparison and analysis with experiments use the combination of algorithms and sensors
Sensing Technology for Gesture Recognition
Data Glove
used sensors included inertial sensors, magnetic
sensors and bending sensors
Vision
for example: RGB camera use to detect visual gesture. Kinect,Leap Motion.
Surface Electromyography
forearm muscle movement
include sEMG, ultrasound, forearm shape detection and mechanomyography (MMG)
Ultrasound
Sound waves are mechanical waves and travel by repeatedly compressing and expanding the medium.
Hybrid Methods
Different sensors can detect different and limited gesturerelated features
Other Methods
Change of forearm muscle morphology
Applications
Simplify or Replace Traditional Control Methods
Human–Machine Cooperation
Sign Language Translation
Interactive Entertainment and Virtual Reality (VR)
Correction of Standard Actions