A novel approach to motion tracking with wearable sensors based on Probabilistic Graphical Models.
Emanuele RuffaldiLorenzo PeppoloniAlessandro FilippeschiCarlo Alberto AvizzanoPublished in: ICRA (2014)
Keyphrases
- probabilistic graphical models
- motion tracking
- wearable sensors
- activity recognition
- graphical models
- motion analysis
- markov networks
- markerless
- inertial sensors
- first order logic
- degrees of freedom
- human activities
- body parts
- belief propagation
- latent variables
- conditional random fields
- action recognition
- maximum likelihood
- probabilistic model
- bayesian networks
- computer vision
- human motion
- pose estimation
- image sequences