Identification of potential improvement assembly movements using worker classification by motion capture and machine learning.
Ryuto KawaneHiromasa IjuinKoki KarubeMasao SugiTomohiro NakadaTetsuo YamadaPublished in: IWCIA (2023)
Keyphrases
- motion capture
- machine learning
- decision trees
- text classification
- human movement
- machine learning methods
- human motion
- computer graphics
- feature selection
- support vector machine
- human motion capture
- human body
- machine learning algorithms
- body movements
- artificial intelligence
- feature extraction
- human figure
- multi view
- image classification
- feature vectors
- human computer interaction
- joint angles
- humanoid robot
- multi modal
- viewpoint
- learning algorithm
- markerless
- user interface
- computer animation