A low-cost framework for the recognition of human motion gait phases and patterns based on multi-source perception fusion.
Dianbiao DongChi MaMiao WangHuong Thi Thu VuBram VanderborghtYuanxi SunPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- human motion
- gait recognition
- multi source
- low cost
- information fusion
- data fusion
- human movement
- gait analysis
- motion capture
- human identification
- human body
- optical motion capture
- motion synthesis
- person identification
- spatio temporal
- video sequences
- motion recognition
- motion history images
- body parts
- object recognition
- image sequences
- markerless
- databases
- neural network
- social networks
- motion sequences
- database systems
- background subtraction
- human pose
- viewpoint
- data integration
- pose estimation
- bayesian framework